NDLI: On the security of random linear measurements

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2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

A parallel algorithm for big tensor decomposition using randomly compressed cubes (PARACOMP)

Fast and robust bootstrap method for testing hypotheses in the ICA model

Computing persistent features in big data: A distributed dimension reduction approach

Online dictionary learning from big data using accelerated stochastic approximation algorithms

Metric learning with rank and sparsity constraints

Distributed large-scale tensor decomposition

Spatio-temporal sampling and reconstruction of diffusion fields induced by point sources

Super-resolution from short-time Fourier transform measurements

Non-uniform sampling for compressive cyclic spectrum reconstruction

A phase retrieval method for signals in modulation-invariant spaces

Fitting instead of annihilation: Improved recovery of noisy FRI signals

No-Go theorem for sampling-based signal processing

Enhanced radar detection and range estimation via oversampled data

Robust estimation of the clutter subspace for a Low Rank heterogeneous noise under high Clutter to Noise Ratio assumption

A max-min design of transmit sequence and receive filter

Multichannel radar backscatter communication and localization

Compressed spectrum Sensing in Cognitive Radar systems

Angular resolution limit of two closely-spaced point sources based on information theoretic criteria

Variational Bayes based I-vector for speaker diarization of telephone conversations

Information bottleneck based speaker diarization of meetings using non-speech as side information

Improving speaker diarization using social role information

Bayesian analysis of similarity matrices for speaker diarization

Filterbank slope based features for speaker diarization

A conditional random field approach for audio-visual people diarization

Classification of clean and noisy bilingual movie audio for speech-to-speech translation corpora design

Improving dialogue classification using a topic space representation and a Gaussian classifier based on the decision rule

Wikipedia-based Kernels for dialogue topic tracking

Contextual domain classification in spoken language understanding systems using recurrent neural network

Coping with language data sparsity: Semantic head mapping of compound words

Reranked aligners for interactive transcript correction

Learning sparse models for image quality assessment

Subjective similarity evaluation for scenic bilevel images

Full-reference and reduced-reference quality metrics based on SIFT

Towards anovel perceptual color difference metric using circular processing of hue components

GEQM: A quality metric for gray-level edge maps based on structural matching

Missing intensity restoration via perceptually optimized subspace projection based on entropy component analysis

Mean-normalized stochastic gradient for large-scale deep learning

Extracting deep neural network bottleneck features using low-rank matrix factorization

Combining time- and frequency-domain convolution in convolutional neural network-based phone recognition

On combining DNN and GMM with unsupervised speaker adaptation for robust automatic speech recognition

An ideal hidden-activation mask for deep neural networks based noise-robust speech recognition

Kernel methods match Deep Neural Networks on TIMIT

Deep Scattering Spectrum with deep neural networks

Improving deep neural network acoustic models using generalized maxout networks

Transcribing code-switched bilingual lectures using deep neural networks with unit merging in acoustic modeling

Improving DNN speaker independence with I-vector inputs

Context dependent state tying for speech recognition using deep neural network acoustic models

On parallelizability of stochastic gradient descent for speech DNNS

Stochastic data sweeping for fast DNN training

Reshaping deep neural network for fast decoding by node-pruning

Natural speech synthesis based on hybrid approach with candidate expansion and verification

A comparative evaluation of vocoding techniques for HMM-based laughter synthesis

Excitation modeling for HMM-based speech synthesis: Breaking down the impact of periodic and aperiodic components

HMM-Based singing voice synthesis and its application to Japanese and English

Effectiveness of PLP-based phonetic segmentation for speech synthesis

A frequency-weighted post-filtering transform for compensation of the over-smoothing effect in HMM-based speech synthesis

Cluster adaptive training of average voice models

Multiple-average-voice-based speech synthesis

A postfilter to modify the modulation spectrum in HMM-based speech synthesis

A novel hybrid mandarin speech synthesis system using different base units for model training and concatenation

Linear dynamical models in speech synthesis

Extending multifractal analysis to negative regularity: P-exponents and P-leaders

Efficient kernel-based formulations of spatio-spectral and related transformations on the 2-sphere

The fourier-based synchrosqueezing transform

A new nonparametric method for testing stationarity based on trend analysis in the time marginal distribution

On selecting relevant intrinsic mode functions in empirical mode decomposition: An energy-based approach

State and impulsive time-varying measurement noise density estimation in nonlinear dynamic systems using Dirichlet Process Mixtures

Sparse regressions for joint segmentation and linear prediction

Extending coherence time for analysis of modulated random processes

Time-frequency signature reconstruction from random observations using multiple measurement vectors

Block-recursive IAA-based spectral estimates with missing samples using data interpolation

Distributions of upper PAPR and lower PAPR of OFDM signals in visible light communications

The farey-dictionary for sparse representation of periodic signals

Sparse Linear Operator identification without sparse regularization? Applications to mixed pixel problem in Time-of-Flight/Range imaging

Optimization with sums of exponentials and applications

Topology identification of dynamic point process networks

A unique polar representation of the hyperanalytic signal

Autoconvolution and panorama: Augmenting second-order signal analysis

A multidimensional signal processing approach to Wave Digital Filters with topology-related delay-free loops

Estimation of rank deficient covariance matrices with Kronecker structure

Anomaly detection for dike monitoring using system identification

Noise squared norm in OFDM systems interfered by impulse noise

Gaussian process parameter estimation using zero crossing data from wireless sensors

The Cramér-Rao bound for estimation-after-selection

Compression-based normal similarity measures for DNA sequences

Order statistics based CDF scheduling methods in multiuser heterogeneous systems

Robust spectrum management with incomplete information

Joint power allocation, base station assignment and beamformer design for an uplink SIMO heterogeneous network

A context-aware matching game for user association in wireless small cell networks

Matching theory for priority-based cell association in the downlink of wireless small cell networks

Optimal resource allocation for type-II HARQ based OFDMA ad hoc networks under individual rate and power constraints

Globally optimal joint uplink base station association and power control for max-min fairness

Coordinated downlink and uplink user association and beamforming for energy minimizationincloud radio access network

Cooperative multi-cell MIMO downlink precoding for finite-alphabet inputs

Decentralized sum MSE minimization for coordinated multi-point transmission

Power allocation for Gaussian multiple access channel with noisy cooperative links

Weighted sum rate optimization for multicell MIMO systems with hardware-impaired transceivers

Coordinated beamforming in MIMO FBMC/OQAM systems

Joint precoding over a master-slave coordination link

Multiple-view constrained clustering for unsupervised face identification in TV-broadcast

Face recognition based on SIGMA sets of image features

Log-domain polynomial filters for illumination-robust face recognition

Probabilistic Linear Discriminant Analysis for intermodality face recognition

Regularized Shearlet Network for face recognition using single sample per person

Histogram of Log-Gabor Magnitude Patterns for face recognition

Facial image de-identification using identiy subspace decomposition

Polynomial based texture representation for facial expression recognition

Analysis of the effect of calibration error on light field super-resolution rendering

Efficient intra prediction scheme for light field image compression

Adaptive block truncation filter for MVC depth image enhancement

Generic 2D/3D smoothing via regional variation

Temporally coherent stereo matching using kinematic constraints

Performance analysis in Lytro camera: Empirical and model based approaches to assess refocusing quality

An efficient algorithm for pothole detection using stereo vision

Toward a one shot multi-projector profilometry system for full field of view object measurement

Efficient 3-dimensional model reconstruction based on marker encoded fringe projection profilometry

Low-saliency prior for disocclusion hole filling in DIBR-synthesized images

Hierarchical depth processing with adaptive search range and fusion

Using monocular depth cues for modeling stereoscopic 3D saliency

An improved model of binocular energy calculation for full-reference stereoscopic image quality assessment

Label propagation through edge-preserving filters

Close-talking spherical microphone array using sound pressure interpolation based on spherical harmonic expansion

Time-delay estimation for TOA-based localization of multiple sensors

Multi-speaker tracking using multiple distributed microphone arrays

Sound-model-based acoustic source localization using distributed microphone arrays

Cultivating vocal activity detection for music audio signals in a circulation-type crowdsourcing ecosystem

A pairwise approach to simultaneous onset/offset detection for singing voice using correntropy

Parametric model of spectral envelope to synthesize realistic intensity variations in singing voice

Exploiting global features for tempo octave correction

An audio fingerprinting system for live version identification using image processing techniques

Accounting for phase cancellations in non-negative matrix factorization using weighted distances

Estimating timing and channel distortion across related signals

PYIN: A fundamental frequency estimator using probabilistic threshold distributions

Music segment similarity using 2D-Fourier Magnitude Coefficients

Stereoscopic image retargeting based on 3D saliency detection

Prediction-based load control and balancing for feature extraction in visual sensor networks

MangaWall: Generating manga pages for real-time applications

Towards optimal resource allocation for differentiated multimedia services in cloud computing environment

Source localization on solids utilizing time-frequency analysis of parameterized warped signals

Analysis and modeling of next speaking start timing based on gaze behavior in multi-party meetings

Analysis of interaction attitudes using data-driven hand gesture phrases

Bandit framework for systematic learning in wireless video-based face recognition

Optimal foresighted packet scheduling and resource allocation for multi-user video transmission in 4G cellular networks

Quality-fair HTTP adaptive streaming over LTE network

Automatic inference of mental states from spontaneous facial expressions

Segmentation of music video streams in music pieces through audio-visual analysis

Text-dependent GMM-JFA system for password based speaker verification

Modelling the alternative hypothesis for text-dependent speaker verification

Imposture classification for text-dependent speaker verification

Unsupervised adaptation of PLDA by using variational Bayes methods

Evasion and obfuscation in automatic speaker verification

An algorithm for exact super-resolution and phase retrieval

Estimation of phase synchrony using the synchrosqueezing transform

Wide-band moving source passive localization in highly corruptive environments

Compressive nonparametric graphical model selection for time series

3D rotation estimation using discrete spherical harmonic oscillator transforms

Smooth time-frequency estimation using covariance fitting

Multilevel descriptive experiment design regularization framework for sparsity preserving enhancement of radar imagery in harsh sensing environments

Multi-band radio-frequency integrated circuits for multiband and multimode wireless communication, radar and sensing systems in harsh environments

Detection, parametric imaging and classification of very small marine targets emerged in heavy sea clutter utilizing GPS-based Forward Scattering Radar

Radar tomography using MIMO noise radar and antenna with beam synthesis

Over-the-horizon Radar potential signal parameter estimation accuracy in harsh sensing environments

Polarimetric MIMO radar target detection based on glowworm swarm optimization algorithm

Diffusion-based distributed MVDR beamformer

On the noisereduction performance of the MVDR beamformer innoisy and reverberant environments

A new generalized sidelobe canceller with a compact array of microphones suitable for mobile terminals

Multichannel Wiener filter performance analysis in presence of mismodeling

Automatic spatial gain control for an informed spatial filter

An analysis of binaural spectro-temporal masking as nonlinear beamforming

Parallel and distributed methods for nonconvex optimization

Max-min network flow and resource allocation for backhaul constrained heterogeneous wireless networks

Joint cell selection and radio resource allocation in MIMO small cell networks via successive convex approximation

Near-optimal spectrum allocation in multi-tier cellular networks with random inelastic traffic

Queue aware precoder design for space frequency resource allocation

Effectiveness of successive interference cancellation and association policies for heterogeneous wireless networks

Quad-tree partitioned compressed sensing for depth map coding

Flexible depth map spatial resolution in depth-enhanced multiview video coding

Asymmetric coding using Binocular Just Noticeable Difference and depth information for stereoscopic 3D

A graph-based joint bilateral approach for depth enhancement

Synthesis Error COmpeNsateD Multiview Video plus Depth for representation of multiview video

A low complexity mode decision approach for HEVC-based 3D video coding using a Bayesian method

Robust and efficient environment detection for adaptive speech enhancement in cochlear implants

Improving channel selection of sound coding algorithms in cochlear implants

Speech reinforcement in noisy reverberant environments using a perceptual distortion measure

Modeling pathological speech perception from data with similarity labels

Closed phase estimation for inverse filtering the oral airflow waveform

Perceived quality of resonance based decomposed speech components under diotic and dichotic listening

Signal processing methods for removing the effects of whole-body vibration upon speech

Vowel-reduction feedback system for non-native learners of English

Maximum a-posteriori estimation of missing samples with continuity constraint in Electromagnetic Articulography data

Subband analysis of linear prediction residual for the estimation of glottal closure instants

On automatic voice casting for expressive speech: Speaker recognition vs. speech classification

Fusion of acoustic, linguistic and psycholinguistic features for Speaker Personality Traits recognition

COVAREP — A collaborative voice analysis repository for speech technologies

Automatic measurement of affective valence and arousal in speech

Variability compensation in small data: Oversampled extraction of i-vectors for the classification of depressed speech

Analysis of laughter and speech-laugh signals using excitation source information

Multi-scale modulation filtering in automatic detection of emotions in telephone speech

Bivariate analysis of disordered connected speech using temporal and spectral acoustic cues

Modeling gender information for emotion recognition using Denoising autoencoder

Are men more sleepy than women or does it only look like — Automatic analysis of sleepy speech

Monte Carlo methods for compressed sensing

Exact performance analysis of the oracle receiver for compressed sensing reconstruction

Off-the-grid spectral compressed sensing with prior information

Compressive signal processing with circulant sensing matrices

Adaptive Compressed Classification for hyperspectral imagery

Shrinkage mappings and their induced penalty functions

Block-sparse signal recovery with synthesized multitask compressive sensing

Joint sparsity and frequency estimation for spectral compressive sensing

Compressed sensing with unknown sensor permutation

Spectral compressive sensing with model selection

Compressed matched filter for non-Gaussian noise

Power spectrum blind sampling using optimal multicoset sampling patterns in the MSE sense

Specular multipath exploitation for improved velocity estimation in through-the-wall radar imaging

Nonnegative matrix factorization to find features in temporal networks

Coarsening graph signal with spectral invariance

All for one, one for all: Consensus community detection in networks

Finite-time distributed consensus through graph filters

Spectral anomaly detection using graph-based filtering for wireless sensor networks

Churn detection in large user networks

Modeling information diffusion dynamics over social networks

Distributed demand side management of heterogeneous rational consumers in smart grids with renewable sources

A distributed consensus plus innovation particle filter for networks with communication constraints

Distributed on-line multidimensional scaling for self-localization in wireless sensor networks

Semi-supervised learning for graph to signal mapping: A graph signal wiener filter interpretation

Local Fiedler vector centrality for detection of deep and overlapping communities in networks

Subgraph density and epidemics over networks

Achieving the degrees of freedom of 2×2×2 interference network with arbitrary antenna configurations

Location aided semi-blind interference alignment for clustered small cell networks

Improper Gaussian signaling for the Z-interference channel

On the degrees of freedom of partially-connected symmetrically-configured MIMO interference broadcast channels

Precoding for systems with soft combining to counteract instationary intercell interference

On the degrees of freedom of the K-user MISO interference channel with imperfect delayed CSIT

Receiver-coordinated distributed transmit nullforming with local and unified tracking

A low-complexity 3D spatio-temporal FIR filter for enhancing linear trajectory signals

Metal artifact reduction for CT-based luggage screening

Structure-preserving dual-energy CT for luggage screening

Adaptive 2D-AR framework for texture completion

Flash/no-flash image integration using convex optimization

A novel retinex based approach for image enhancement with illumination adjustment

Fusion of tone-mapped high dynamic range images based on objective range-independent quality maps

Adaptive windowing for optimal visualization of medical images based on normalized information distance

Power-constrained RGB-to-RGBW conversion for emissive displays

Color transform between image pair using covariance correspondences of local color distributions

Image colorization algorithm using series approximated sparse function

SSIM performance limitation of linear equalizers

Poisson denoising with multiple directional lots

Unbiased noise estimation and denoising in parallel magnetic resonance imaging

Learning directional co-occurrence for human action classification

Spontaneous versus posed smile recognition using discriminative local spatial-temporal descriptors

Text detection and recognition in natural scenes and consumer videos

Exploiting transfer learning for personalized view invariant gesture recognition

Alignment of nearly-repetitive contents in a video stream with manifold embedding

Low complexity on-line video summarization with Gaussian mixture model based clustering

Tensor-variate Gaussian processes regression and its application to video surveillance

Spatio-temporal pyramidal accordion representation for human action recognition

Gesture recognition using a NMF-based representation of motion-traces extracted from depth silhouettes

Visual odometry for RGB-D cameras for dynamic scenes

Low rank sparsity prior for robust video anomaly detection

Detection of sign-language content in video through polar motion profiles

State-space architecture of the partitioned-block-based acoustic echo controller

Robust acoustic echo cancellation in the short-time fourier transform domain using adaptive crossband filters

Accurate adaptive filtering in square-root Hann windowed short-time fourier transform domain

Avoiding local trap in nonlinear acoustic echo cancellation with clipping compensation

The elitist particle filter based on evolutionary strategies as novel approach for nonlinear acoustic echo cancellation

Non-linear acoustic echo cancellation using cascaded Kalman filtering

Speech and audio loudness depending on telephone audio bandwidth and codec — A subjective testing approach

Objective evaluation of the audibility of transient errors in an adaptive A/D conversion channel

Signal quality classification of mobile phone-recorded phonocardiogram signals

Quality assessment of multi-channel audio processing schemes based on a binaural auditory model

Crossband filtering for stereophonic acoustic echo suppression

Deep learning vector quantization for acoustic information retrieval

Simultaneous acquisition of multiple images with higher dynamic range

Exploring audio semantic concepts for event-based video retrieval

Improved score-performance alignment algorithms on polyphonic music

Softening quantization in bag-of-audio-words

Semi-automatic audio semantic concept discovery for multimedia retrieval

Chinese Image Text Recognition on grayscale pixels

Quality assessment of on-line videos using metadata

Auditory attention based mobile audio quality assessment

A Power Mask based audio fingerprint

A monolithic programmable Ultra-HD video codec engine

Matched field processing localization with random sensor topologies

Weighted stansfield algorithm in three dimensions

Novel closed-form auxiliary variables based algorithms for sensor node localization using AOA

Reaching asymptotic efficient performance for squared processing of range and range difference localizations in the presence of sensor position errors

A binaural sound source localization model based on time-delay compensation and interaural coherence

Source localization and tracking in non-convex rooms

Single-channel indoor microphone localization

Model-based sparse component analysis for reverberant speech localization

Multiple concurrent speaker short-term tracking using a Kalman filter bank

Adaptive waveform scheduling for target tracking in clutter by multistatic radar system

Motion parameter estimation of multiple targets in multistatic passive radar through sparse signal recovery

Environmentally sensitive particle filter tracking in multistatic AUV networks with port-starboard ambiguity

Joint emitter detection and tracking using distributed Random Exchange Diffusion Particle Filtering

Robust F0 estimation in noisy speech signals using shift autocorrelation

Multi-pitch tracking using Gaussian mixture model with time varying parameters and Grating Compression Transform

A computationally efficient refinement of the fundamental frequency estimate for the Adaptive Harmonic Model

A robust pitch detector based on time envelope and individual harmonic information using Phase Locked Loops and consensual decisions

Neural networks for supervised pitch tracking in noise

Epoch extraction from allpass residual of speech signals

A preconditioned Forward-Backward approach with application to large-scale nonconvex spectral unmixing problems

Barrier smoothing for nonsmooth convex minimization

Distributed Nesterov gradient methods for random networks: Convergence in probability and convergence rates

Teaching a new trick to an old dog: Revisiting the quadratic programming formulation of sparse recovery using ADMM

Active set strategy for high-dimensional non-convex sparse optimization problems

Robust Canonical Correlation Analysis: Audio-visual fusion for learning continuous interest

A newem estimationof dynamic stream weights for coupled-HMM-based audio-visual ASR

Look who's talking: Detecting the dominant speaker in a cluttered scenario

Motion history images for online speaker/signer diarization

Multimodal voice conversion using non-negative matrix factorization in noisy environments

Bag of sub-graphs for video event recognition

Examples of optimal noise reduction filters derived from the squared Pearson correlation coefficient

Fast segment search for corpus-based speech enhancement based on speech recognition technology

Deep learning for monaural speech separation

An interactive audio source separation framework based on non-negative matrix factorization

Towards complex matrix decomposition of spectrograms based on the relative phase offsets of harmonic sounds

Audio declipping with social sparsity

On the use of secret keys in broadcast channels with receiver side information

Mobi-cliques for improving ergodic secrecy in fading wiretap channels under power constraints

Precoding for secret key generation in multiple antenna channels with statistical channel state information

Robust artificial noise-aided transmit optimization for achieving secrecy and energy harvesting

Privacy-leakage codes for biometric authentication systems

Device-to-device communications: The physical layer security advantage

A non-homogeneous poisson process model of Skin Conductance Responses integrated with observed regulatory behaviors for Autism intervention

Joint clustering of protein interaction networks by block modeling

Using density invariant graph Laplacian to resolve unobservable parameters for three-dimensional optical bio-imaging

Deep learning of feature representation with multiple instance learning for medical image analysis

Exponential Hermite splines for the analysis of biomedical images

An adaptive distributed resampling algorithm with non-proportional allocation

An investigation of summed-channel speaker recognition with multi-session enrollment

Training Pairwise Support Vector Machines with large scale datasets

Large-scale speaker identification

Spear: An open source toolbox for speaker recognition based on Bob

Speaker verification using kernel-based binary classifiers with binary operation derived features

Improving PLDA speaker verification with limited development data

Constrained discriminative PLDA training for speaker verification

Unsupervised idiolect discovery for speaker recognition

Generative modelling for unsupervised score calibration

Bayesian vocal tract model estimates of nasal stops for speaker verification

Physiologically-motivated feature extraction for speaker identification

A novel scheme for speaker recognition using a phonetically-aware deep neural network

Deep belief networks for i-vector based speaker recognition

JFA-based front ends for speaker recognition

Feature enhancement using sparse reference and estimated soft-mask exemplar-pairs for noisy speech recognition

Non-linear dimension reduction of Gabor features for noise-robust ASR

Feature compensation using linear combination of speaker and environment dependent correction vectors

Subspace Gaussian mixture model with state-dependent subspace dimensions

Generalization of temporal filter and linear transformation for robust speech recognition

Mean normalization of power function based cepstral coefficients for robust speech recognition in noisy environment

Reverberation and noise robust feature enhancement using multiple inputs

Semi-supervised noise dictionary adaptation for exemplar-based noise robust speech recognition

Medium-duration modulation cepstral feature for robust speech recognition

Exploiting a ‘gaze-Lombard effect’ to improve ASR performance in acoustically noisy settings

Speech feature denoising and dereverberation via deep autoencoders for noisy reverberant speech recognition

Synthesized stereo mapping via deep neural networks for noisy speech recognition

Second order vector taylor series based robust speech recognition

Speaker verification based processing for robust ASR in co-channel speech scenarios

Quantization noise shaping for information maximizing ADCs

Clock jitter in sampling and reconstruction

A low-complexity sub-Nyquist sampling system for wideband Radar ESM receivers

Cramér-rao bound for sampling & reconstruction of FRI signals

Jittered random sampling with a successive approximation ADC

Universal sampling of signals with finite rate of innovation

Finite dimensional FRI

Stable recovery from the magnitude of symmetrized fourier measurements

Sampling 2-D signals on a union of lattices that intersect on a lattice

A model-based framework for fast dynamic image sampling

Optimum analog receive filters for detection and inference under a sampling rate constraint

Jitter requirements for bandpass sampling receivers utilizing sample-and-hold circuits

On the role of the Hilbert transform in boosting the performance of the annihilating filter

On conditions for uniqueness in sparse phase retrieval

Bayesian quickest detection with stochastic energy constraint

Parameter identifiability in Sparse Bayesian Learning

Analysis of the cross-target measurement fusion likelihood for RSSI-based sensors

Distributed data fusion using iterative covariance intersection

Robust asynchronous indoor localization using LED lighting

Exploiting an event based state estimator in presence of sparse measurements in video analytics

Optimal information ordering in sequential detection problems with cognitive biases

Fast approximate L0-norm deconvolution using structured wavelet domain priors

Non-parametric Bayesian framework for detection of object configurations with large intensity dynamics in highly noisy hyperspectral data

Model selection and comparison for independents sinusoids

Pattern-coupled sparse Bayesian learning for recovery of block-sparse signals

A hierarchical sparsity-smoothness Bayesian model for ℓ0 + ℓ1 + ℓ2 regularization

Joint detection and decoding of LDPC coded distributed space-time signaling in wireless relay networks via linear programming

Low complexity decoding of variable length source-channel codes

MIMO detection based on averaging Gaussian projections

Reliable packet type estimation via joint protocol-channel decoding

Reduced complexity sphere decoding using a geometrical approach

FER prediction with variable codeword length

Flexible non-binary LDPC decoding on FPGAs

Expectation propagation approach to joint channel estimation and decoding for OFDM systems

Turbo-equalization of the remaining interference in a pre-distorted non-linear satellite channel

Partial CRC-assisted error correction of AIS signals received by satellite

LLR optimization for iterative MIMO BICM receivers

An adaptive MMSE-SIC soft detector with error regularization for iterative MIMO receivers

Channel estimation in UWB channels using compressed sensing

Extreme unequal error protection and perfectly reliable encoding

Frequency selective extrapolation with residual filtering for image error concealment

An efficient method for no-reference H.264/SVC bitstream extraction

Transparent encryption for HEVC using bit-stream-based selective coefficient sign encryption

Entropy based merging of context models for efficient arithmetic coding

Blocky artifact removal with low-rank matrix recovery

Running Gaussian reference-based reconstruction for video compressed sensing

An adaptive lighting correction method for matched-texture coding

Lossless/near-lossless color image coding by inverse demosaicing

No-reference quality assessment of HEVC videos in loss-prone networks

Accurate rate-distortion approximation for sparse Bernoulli-Generalized Gaussian models

Image compression via sparse reconstruction

A memory-assisted lossless compression algorithm for medical images

A two-part predictive coder for multitask signal compression

Robust common spatial patterns by minimum divergence covariance estimator

Simple and efficient methods for steady state visual evoked potential detection in BCI embedded system

Optimizing spatial filter pairs for EEG classification based on phase-synchronization

Automatic removal of EEG artifacts using electrode-scalp impedance

Performance estimation of a cooperative brain-computer interface based on the detection of steady-state visual evoked potentials

Connectivity based feature-level filtering for single-trial EEG BCIs

Fingertip force estimation from forearm muscle electrical activity

Sparse estimation of the hemodynamic response functionin functional near infrared spectroscopy

Hemodynamically informed parcellation of cerebral FMRI data

A novel approach for assessing reliability of ICA for FMRI analysis

Time varying brain connectivity modeling using FMRI signals

Compensation of recording position shifts for a myoelectric Silent Speech Recognizer

Identification of dynamic functional brain network states through tensor decomposition

An alternating least-squares algorithm for approximate joint diagonalization and its application to blind source separation

Sparse target cancellation filters with application to semi-blind noise extraction

On the use of contextual time-frequency information for full-band clustering-based convolutive blind source separation

Automatic carrier pitch estimation for coherent demodulation

Custom sized non-negative matrix factor deconvolution for sound source separation

Ultrasound-coupled semi-supervised nonnegative matrix factorisation for speech enhancement

Speech/music discrimination in a large database of radio broadcasts from the wild

Improving music auto-tagging by intra-song instance bagging

Intra-note segmentation via sticky HMM with DP emission

Linear regression-based adaptation of music emotion recognition models for personalization

Better beat tracking through robust onset aggregation

A study of instrument-wise onset detection in Beijing Opera percussion ensembles

Multi-resolution linear prediction based features for audio onset detection with bidirectional LSTM neural networks

Orbit refinement for software defined radio for space applications

Information maximizing DAC noise shaping

Face recognition using distributed, mobile computing

Forecasting in wind energy applications with site-adaptive Weibull estimation

Estimating an optimal setpoint to lessen errors in filling weighing system based on Kalman filtering

State-of-charge estimation for supercapacitors: A Kalman filtering formulation

An auto-focusing noise suppressor for cellphone movies based on phase randomization and power compensation

TDA2X, a SoC optimized for advanced driver assistance systems

Anchor free node tracking using ranges, odometry, and multidimensional scaling

A Matlab-based magnitude response game for DSP education

Flipping signals and systems — Course structure & results

Hands-on real-time DSP teaching using inexpensive arm cortex M4 development systems

DSP see-through: Going beyond talk-through

Underdetermined DOA estimation of multi-path signals based on ICA and sparse reconstruction

Toeplitz rectification and DOA estimation with music

High resolution direction finding from rectangular higher order cumulant matrices: The rectangular 2Q-music algorithms

DOA estimation performances of multi-parametric music in presence of modeling errors — Case of coherent multi-paths

Nonuniform linear antenna arrays for enhanced near field source localization

A computationally efficient source localization method for a mixture of near-field and far-field narrowband signals

ML estimation and CRB for narrowband AR signals on a sensor array

Doa estimation exploiting coprime arrays with sparse sensor spacing

A signal adaptive array interpolation approach with reduced transformation bias for DOA estimation of highly correlated signals

Asymptotic performance analysis of esprit-type algorithms for circular and strictly non-circular sources with spatial smoothing

DOA estimation of speech source in noisy environments with weighted spatial bispectrum correlation matrix

Robust DOA estimation of multiple speech sources

Search-free decentralized direction-of-arrival estimation using common roots for non-coherent partly calibrated arrays

Single snapshot DOA estimation using compressed sensing

Detecting deletions in ASR output

Direct sub-word confidence estimation with hidden-state conditional random fields

ASR error detection using recurrent neural network language model and complementary ASR

A phonetic similarity based noisy channel approach to ASR hypothesis re-ranking and error detection

Exploiting un-transcribed foreign data for speech recognition in well-resourced languages

Close/distant talker discrimination based on kurtosis of linear prediction residual signals

Efficient recovery of principal components from compressive measurements with application to Gaussian mixture model estimation

Modulated measurement matrix design for compressed sensing

LIE operators for compressive sensing

Robust primary user identification using compressive sampling for cognitive radios

The modulated E-spline with multiple subbands and its application to sampling wavelet-sparse signals

Maximum entropy hadamard sensing of sparse and localized signals

Seismic signal processing: Some recent advances

High-resolution imaging of seismic data: How to combine wave-theory with signal processing techniques

Fault detection in seismic datasets using hough transform

A constrained-based optimization approach for seismic data recovery problems

Reconstruction of signals from highly aliased multichannel samples by Generalized Matching Pursuit

Sparse inversion of the Radon coefficients in the presence of erratic noise with application to simultaneous seismic source processing

Probabilistic 3D mapping based on GNSS SNR measurements

Learning to classify with possible sensor failures

Speech decoloration based on the product-of-filters model

Mondrian hidden Markov model for music signal processing

Physical layer authentication based on channel response tracking using Gaussian processes

Modeling spatial extremes via ensemble-of-trees of pairwise copulas

A sparse MLE approach for joint interference mitigation and data recovery

Opportunistic interference alignment for MIMO interfering broadcast channels

The design of optimal receiver for opportunistic interference alignment

Robust optimization for multi-cell interfering MIMO-MAC under limited feedback

Partial CSI feedback design for interference alignment in MIMO cellular networks

Retrospective Interference Alignment for the 3-user MIMO interference channel with delayed CSIT

Image denoising by targeted external databases

Selectively detail-enhanced exposure fusion via a gradient domain content adaptive bilateral filter

A new image filtering method: Nonlocal image guided averaging

Collaborative noise reduction using color-line model

Epitomic image colorization

A statistical derivation of an automatic tone mapping algorithm for wide dynamic range display

Matlab exercises in support of teaching digital speech processing

Subband hybrid feature for multi-stream speech recognition

Music tonality features for speech/music discrimination

A pitch extraction algorithm tuned for automatic speech recognition

Multi-view learning with supervision for transformed bottleneck features

Joint noise adaptive training for robust automatic speech recognition

Analysis-by-synthesis feature estimation for robust automatic speech recognition using spectral masks

A discriminatively trained Hough Transform for frame-level phoneme recognition

Analyzing convolutional neural networks for speech activity detection in mismatched acoustic conditions

Learning dynamic features with neural networks for phoneme recognition

Contrastive auto-encoder for phoneme recognition

Transductive nonnegative matrix factorization for semi-supervised high-performance speech separation

Automatic phonetic segmentation in Mandarin Chinese: Boundary models, glottal features and tone

UT-Vocal Effort II: Analysis and constrained-lexicon recognition of whispered speech

Tongue shape conversion with non-parallel training data

Dialogue context sensitive HMM-based speech synthesis

Integration of speaker and pitch adaptive training for HMM-based singing voice synthesis

Parametric representation for singing voice synthesis: A comparative evaluation

Very fast unit selection using Viterbi search with zero-concatenation-cost chains

Speaker dependent expression predictor from text: Expressiveness and transplantation

Fundamental frequency generation for whisper-to-audible speech conversion

A novel pitch decomposition method for the generalized linear alignment model

Narrow Adaptive Regularization of weights for grapheme-to-phoneme conversion

Automatic discovery of a phonetic inventory for unwritten languages for statistical speech synthesis

Neural net word representations for phrase-break prediction without a part of speech tagger

M-channel oversampled perfect reconstruction filter banks for graph signals

Mixer sequence design for N-path filters

Fractional number-theoretic transforms based on matrix functions

Lifting wavelet design by block wavelet transform inversion

Structured dictionary learning with 2-D non-separable oversampled lapped transform

FFT based solution for multivariable L2 equations using KKT system via FFT and efficient pixel-wise inverse calculation

Frequency domain linear prediction based on temporal analysis

An efficient 18-band quasi-ANSI 1/3-octave filter bank using re-sampling method for digital hearing aids

On the choice of window for spatial smoothing of spherical data

Multi-wavelet coherence for point processes on the real line

Image tampering detection by exposing blur type inconsistency

Demosaicing strategy identification via eigenalgorithms

Exploiting perceptual quality issues in countering SIFT-based Forensic methods

Detecting double compressed AMR audio using deep learning

Exposing video inter-frame forgery based on velocity field consistency

Wireless device identification based on RF oscillator imperfections

High dimensional changepoint detection with a dynamic graphical lasso

Information theoretical limit of compression forensics

SOFIR: Securely outsourced Forensic image recognition

Transportation-theoretic image counterforensics to First Significant Digit histogram forensics

Countering anti-forensics of median filtering

Antiforensic synthesis of motion vectors using template algorithms

Multi-group multi-way relaying with reduced number of relay antennas

Robust transmit design for secure AF relay networks based on worst-case optimization

An amplify-and-forward scheme for cognitive radios

Geometric monitoring for CSI reduction in amplify-and-forward relay networks

Robust beamforming in two-way relay networks: Quartically perturbed chance constrained formulation and tractable approximation

Simplified MIMO relay design for multicasting from multiple-sources

A parametric approach to optimal soft signal relaying in wireless parallel-relay systems

Power control for achieving energy-efficient multiuser two-way balancing relay networks

Joint parallel interference cancellation and relay selection algorithms based on greedy techniques for cooperative DS-CDMA systems

Effect of phase noise on digital self-interference cancellation in wireless full duplex

Sampling jitter in full-duplex radio transceivers: Estimation and mitigation

Feasibility study on full-duplex wireless millimeter-wave systems

Removal of bleed-through effect via nonnegative least-correlation

Thermal-image quality measurements

A perceptual blind blur image quality metric

A statistical evaluation of Sparsity-based Distance Measure (SDM) as an image quality assessment algorithm

Objective similarity metrics for scenic bilevel images

Saliency detection based on extended boundary prior with foci of attention

Segmentation-enhanced saliency detection model based on distance transform and center bias

From quaternion to octonion: Feature-based image saliency detection

Retargeting pyramid using direct decimation

A computing method of double linear correlation for mirror image matching

Multiscale anomaly detection using diffusion maps and saliency score

Structured sparse PCA to identify miRNA co-regulatory modules

Variable selection for noisy data applied in proteomics

Fast spatially variant deconvolution for optical microscopy via iterative shrinkage thresholding

A comparison of x-lets in denoising cDNA microarray images

Generalized extreme value distributions, information geometry and sharpness functions for microscopy images

Quantitative control of the error bounds of a fast super-resolution technique for microscopy and astronomy

Gaussian process models for HRTF based 3D sound localization

Large Deformation Diffeomorphic Metric Mapping and Fast-Multipole Boundary Element Method provide new insights for Binaural acoustics

A study on the frequency-domain Primary-ambient extraction for stereo audio signals

The influence of low order reflections on the interaural time differences in crosstalk cancellation systems

Down-mixing using coherence suppression

Coupled dictionary training for exemplar-based speech enhancement

Localization of impulsive disturbances in archive audio signals using predictive matched filtering

Employing phase information for audio denoising

Sparse denoising of audio by greedy time-frequency shrinkage

Single-channel speech presence probability estimation using inter-frame and inter-band correlations

A network of cooperative learners for data-driven stream Mining

Parsimonious Gaussian process models for the classification of multivariate remote sensing images

Real-time action recognition based on cumulative Motion shapes

Conformal predictors for online track classification

Training ensemble of diverse classifiers on feature subsets

Splitting-while-merging framework for clustering high-dimension data with component-wise expectation conditional maximisation

K-mappings and Regression trees

Semi-supervised learning using a graph-based phase field model for imbalanced data set classification

Sensing-aware kernel SVM

Fast margin-based cost-sensitive classification

Recycled linear classifiers for multiclass classification

Bayesian cramér-rao type bound for risk-unbiased estimation with deterministic nuisance parameters

Estimating the number of signals in the presence of nonuniform noise

Joint angle and frequency estimation using structured least squares

Time delay estimation in the presence of clock frequency error

Joint frequency and phasor estimation in unbalanced three-phase power systems

Multichannel detection of an unknown rank-one signal with uncalibrated receivers

Fourth-order tensor method for blind spatial signature estimation

Random distributed detection with an application to Cognitive Radio Byzantine attack

Detection of correlated time series in a network of sensor arrays

A low power self-capacitive touch sensing analog front end with sparse multi-touch detection

Blind beamforming techniques for automatic identification system using GSVD and tracking

Articulatory features from deep neural networks and their role in speech recognition

Refinements of regression-based context-dependent modelling of deep neural networks for automatic speech recognition

Normalization of articulatory data through Procrustes transformations and analysis-by-synthesis

A sparse smoothing approach for Gaussian Mixture Model based Acoustic-to-Articulatory Inversion

The effect of speaking rate on audio and visual speech

Trajectory analysis of speech using continuous state hidden Markov Models

Improvement of utterance clustering by using employees' sound and area data

Acoustic feature extraction by statistics based local binary pattern for environmental sound classification

Spectral clustering with imbalanced data

Subspace learning in minimax detection

Information-theoretic criteria for the design of compressive subspace classifiers

Sparse adaptive possibilistic clustering

A general framework for dictionary based audio fingerprinting

Online NON-negative Tensor Deconvolution for source detection in 3DTV audio

Hearing behind walls: Localizing sources in the room next door with cosparsity

Active-set newton algorithm for non-negative sparse coding of audio

Adaptive Gabor frames by projection onto time-frequency subspaces

Perceptual matching pursuit with Gabor dictionaries and time-frequency masking

Automatic transcription of pitched and unpitched sounds from polyphonic music

Polyphonic piano transcription using non-negative Matrix Factorisation with group sparsity

Leveraging repetition for improved automatic lyric transcription in popular music

Automatic transcription of guitar tablature from audio signals in accordance with player's proficiency

Transcribing vocal expression from polyphonic music

Enhancing downbeat detection when facing different music styles

Antenna subset selection optimization for large-scale MISO constant envelope precoding

Massive MIMO systems with hardware-constrained base stations

Constant envelope signal space diversity

Multi-stream iterative SVD for massive MIMO communication systems under time varying channels

CSIT estimation and feedback for FDD multi-user massive MIMO systems

Uplink performance of massive MIMO subject to delayed CSIT and anticipated channel prediction

Residual component analysis of hyperspectral images for joint nonlinear unmixing and nonlinearity detection

Blind spatial unmixing of multispectral images: An approach based on two-source sparsity and geometrical properties

Bayesian fusion of hyperspectral and multispectral images

Synthetic coded apertures in compressive spectral imaging

Error Analysis of low-rank three-way tensor factorization approach to blind source separation

Underdetermined blind separation and tracking of moving sources based ONDOA-HMM

Sensorimotor adaptation of speech using real-time articulatory resynthesis

Learning a semantic parser from spoken utterances

A DNN-based acoustic modeling of tonal language and its application to Mandarin pronunciation training

Spoken dialogue grammar induction from crowdsourced data

Improved and robust prediction of pronunciation distance for individual-basis clustering of World Englishes pronunciation

Ordinal regression for interaction quality prediction

Effective pseudo-relevance feedback for language modeling in extractive speech summarization

Some insights from translating conversational telephone speech

Gaze-enhanced speech recognition

Computationally-efficient endpointing features for natural spoken interaction with personal-assistant systems

Task specific continuous word representations for mono and multi-lingual spoken language understanding

Factored adaptation of speaker and environment using orthogonal subspace transforms

Black box optimization for automatic speech recognition

Gradient-free decoding parameter optimization on automatic speech recognition

Stochastic pooling maxout networks for low-resource speech recognition

Accurate client-server based speech recognition keeping personal data on the client

Progress in dynamic network decoding

RASR/NN: The RWTH neural network toolkit for speech recognition

The RWTH English lecture recognition system

Accelerating large vocabulary continuous speech recognition on heterogeneous CPU-GPU platforms

Multi-stream combination for LVCSR and keyword search on GPU-accelerated platforms

Chasing the metric: Smoothing learning algorithms for keyword detection

Barista: A framework for concurrent speech processing by usc-sail

Submodular subset selection for large-scale speech training data

Training data selection based on context-dependent state matching

Infinite structured support vector machines for speech recognition

Attribute based lattice rescoring in spontaneous speech recognition

Side information-aided compressed sensing reconstruction via approximate message passing

Poisson group testing: A probabilistic model for nonadaptive streaming boolean compressed sensing

Compressed sensing reconstruction of convolved sparse signals

Exploiting the convex-concave penalty for tracking: A novel dynamic reweighted sparse Bayesian learning algorithm

The convergence guarantees of a non-convex approach for sparse recovery using regularized least squares

Robust off-grid recovery from compressed measurements

Screening for learning classification rules via Boolean compressed sensing

Decentralized subspace pursuit for joint sparsity pattern recovery

On the theoretical analysis of cross validation in compressive sensing

Complex multitask Bayesian compressive sensing

Comparing multivariate complex random signals: Performance analysis and application

Gridless compressive sensing

Revisiting robustness of the union-of-subspaces model for data-adaptive learning of nonlinear signal models

Reconstruction of sparse signals from highly corrupted measurements by nonconvex minimization

Detecting edges of reflections from a single image via convex optimization

Compressed Change Detection

Distributed vector decorrelation and anomaly detection using the vector Sparse Matrix Transform

An asymptotic GLRT for the detection of cyclostationary signals

Multiple testing for sequential probability ratio tests with application to multiband spectrum sensing

Spectral subgraph detection with corrupt observations

On the epsilon-optimal discrimination of two one-dimensional subspaces

Bayesian network detection using absorbing Markov chains

A new unsupervised threshold determination for hybrid models

Real time detection of harmonic structure: A case for topological signal analysis

Power system line outage detection and identification — A quickest change detection approach

Designing discrete sequential tests via mixed integer programming

Digital modulation recognition using circular harmonic approximation of likelihood function

Robust testing for stationarity in the presence of outliers

Delay control for CDF scheduling using Markov decision process

Optimality of proper signaling in Gaussian MIMO broadcast channels with shaping constraints

Distributionally robust chance-constrained transmit beamforming for multiuser MISO downlink

On the complexity of SINR outage constrained max-min-fairness multicell coordinated beamforming problem

Predictive quantization of bit loading for MIMO time-correlated channels with limited feedback

Transmission power variance constrained power allocation for iterative frequency domain multiuser SIMO detector

Hyperbolic frequency modulation for multiple users in underwater acoustic communications

Optimal channel switching for average capacity maximization

Green resource allocation in relay-assisted MIMO systems with statistical channel state information

Energy beamforming with one-bit feedback

Finite-horizon optimal transmission policies for energy harvesting sensors

Super-resolution mapping via multi-dictionary based sparse representation

BSIK-SVD: A dictionary-learning algorithm for block-sparse representations

Structured sparse coding for image denoising or pattern detection

Violent video detection based on MoSIFT feature and sparse coding

Task-driven dictionary learning for inpainting

Sparse localized facial motion dictionary learning for facial expression recognition

Sparse reconstruction for disparity maps using combined wavelet and contourlet transforms

Learning semantic kernels for scene classification

Transformation-invariant dictionary learning for classification with 1-Sparse representations

An adaptive dictionary learning approach for modeling dynamical textures

Laplacian Tensor sparse coding for image categorization

Subject independent identification of breath sounds components using multiple classifiers

Multiscale sample entropy for time resolved epileptic seizure detection and fingerprinting

The development of a multi-stage learning scheme using new tissue descriptors for automatic grading of prostatic carcinoma

Background noise classification using random forest tree classifier for cochlear implant applications

Advanced algorithms for surgical gesture classification

A pattern recognition approach based on electrodermal response for pathological mood identification in bipolar disorders

A novel method for obstructive sleep apnea severity estimation using speech signals

Color identification in dermoscopy images using Gaussian mixture models

An investigation of relationship between bone vibration frequency and its mass-volume ratio

Nearest-manifold classification approach for cardiac arrest rhythm interpretation during resuscitation

Randomized stimulation signal design to create partial informational lesions in parkinsonian neuronal networks

Context-based signal descriptors of heart-rate variability for anxiety assessment

Multi-modal prediction of PTSD and stress indicators

High accuracy discrimination of Parkinson's disease participants from healthy controls using smartphones

Closed-loop feedback cancellation utilizing two microphones and transform domain processing

Design of a high order binaural microphone array for hearing aids using a rigid spherical model

Robust wind noise detection

Perceptually motivated coherence preservation in multi-channel wiener filtering based noise reduction for binaural hearing aids

Modeling the common part of acoustic feedback paths in hearing aids using a pole-zero model

A spatial priority based scalable audio coding

New bit-plane probability calculations for Scalable to Lossless Audio Coding

On relaxing the strict hierarchical constraints in layered coding of audio signals

Error resilience enhancement for a robust ADPCM audio coding scheme

On noise propagation in closed-loop linear predictive coding

Superwideband extension for AMR-WB using conditional codebooks

Modeling speech with sum-product networks: Application to bandwidth extension

A Bag-of-Features approach to acoustic event detection

Single-channel speech separation with memory-enhanced recurrent neural networks

Mixture of Gaussian process experts for predicting sung melodic contour with expressive dynamic fluctuations

Pattern discovery in continuous speech using Block Diagonal Infinite HMM

Emotion detection in speech using deep networks

CCA based feature selection with application to continuous depression recognition from acoustic speech features

Deep neural networks for single channel source separation

Kernel-based identification of Hammerstein systems for nonlinear acoustic echo-cancellation

Intelligibility detection of pathological speech using asymmetric sparse kernel partial least squares classifier

Discriminative non-negative matrix factorization for single-channel speech separation

Block sparse excitation based all-pole modeling of speech

IRIS template protection using a digital modulation paradigm

Heterogeneous IRIS recognition using heterogeneous eigeniris and sparse representation

Verification based ECG biometrics with cardiac irregular conditions using heartbeat level and segment level information fusion

On establishing evaluation standards for ECG biometrics

Performance of I-vector speaker verification and the detection of synthetic speech

Human acoustic fingerprints: A novel biometric modality for mobile security

An HMM-based behavior modeling approach for continuous mobile authentication

Robust perceptual color image hashing using quaternion singular value decomposition

Performance analysis of Bag-of-Features based content identification systems

Fast and accurate Nearest Neighbor search in the manifolds of symmetric positive definite matrices

Fingerprint information maximization for content identification

Efficient two stage decoding scheme to achieve content identification capacity

Decision tree usage for incremental parametric speech synthesis

Spectral modeling using neural autoregressive distribution estimators for statistical parametric speech synthesis

On the training aspects of Deep Neural Network (DNN) for parametric TTS synthesis

Parametric speech synthesis based on Gaussian process regression using global variance and hyperparameter optimization

Complex cepstrum factorization for statistical parametric synthesis

Deep mixture density networks for acoustic modeling in statistical parametric speech synthesis

On lq estimation of sparse inverse covariance

Anomalous cluster detection

A stable betweenness centrality measure in networks

Towards a sampling theorem for signals on arbitrary graphs

On the convergence rate of the bi-alternating direction method of multipliers

Online dictionary learning over distributed models

A 3.8Gb/s large-scale MIMO detector for 3GPP LTE-Advanced

Error-adaptive classifier boosting (EACB): Exploiting data-driven training for highly fault-tolerant hardware

Design and implementation of a low power spike detection processor for 128-channel spike sorting microsystem

Towards approaching near-optimal MIMO detection performance ONAC-programmable baseband processor

FFTS with near-optimal memory access through block data layouts

LLR-based successive cancellation list decoding of polar codes

Reduced-complexity power amplifier linearization for carrier aggregation mobile transceivers

Multiuser frequency allocation with wideband power amplifier models

Digital predistortion of concurrent multiband communication systems

Iterative blind estimation of nonlinear channels

Cross layer energy-efficiency optimization for cognitive radio transceivers

Efficient architecture mapping of FFT/IFFT for cognitive radio networks

Joint sparsity recovery for spectral compressed sensing

Sparse reconstruction of equivalence classes of moving targets using single-channel synthetic aperture radar

Sparsity-aware field estimation via ordinary Kriging

A block-sparse music algorithm for the localization and the identification of directive sources

Joint DOA and multi-pitch estimation using block sparsity

Tensor-based algorithms for learning multidimensional separable dictionaries

Artificial-noise-aided secure multi-antenna transmission in slow fading channels with limited feedback

Strong secrecy and decoding performance analysis for robust broadcasting under channel uncertainty

On the performance of full-duplex relaying under phy security constraints

“Steganalysis in Technicolor” Boosting WS detection of stego images from CFA-interpolated covers

TTP-free asymmetric fingerprinting protocol based on client side embedding

On the security of random linear measurements

Robust speaker identification in noisy and reverberant conditions

Inter dataset variability compensation for speaker recognition

Minimum divergence estimation of speaker prior in multi-session PLDA scoring

Construction of discriminative Kernels from known and unknown non-targets for PLDA-SVM scoring

Uncertainty propagation in front end factor analysis for noise robust speaker recognition

Frequency offset correction in single sideband speech for speaker verification

Effective use of DCTS for contextualizing features for speaker recognition

Domain adaptation via within-class covariance correction in I-vector based speaker recognition systems

Simplified VTS-based I-vector extraction in noise-robust speaker recognition

Unscented transform for ivector-based noisy speaker recognition

Supervised domain adaptation for I-vector based speaker recognition

Deep neural networks for small footprint text-dependent speaker verification

Iterative Bayesian word segmentation for unsupervised vocabulary discovery from phoneme lattices

Unsupervised broadcast news story segmentation using distance dependent Chinese restaurant processes

Extending domain coverage of language understanding systems via intent transfer between domains using knowledge graphs and search query click logs

A variational Bayesian model for user intent detection

Recurrent conditional random field for language understanding

Leveraging semantic web search and browse sessions for multi-turn spoken dialog systems

Small-footprint keyword spotting using deep neural networks

Log-linear dialog manager

Retrieving the syntactic structure of erroneous ASR transcriptions for open-domain Spoken Language Understanding

Language model adaptation for automatic call transcription

Unsupervised submodular subset selection for speech data

A submodular optimization approach to sentence set selection

Semantic context inference for spoken document retrieval using term association matrices

Strategies for Vietnamese keyword search

A sub-band based reconstructor for M-channel time-interleaved ADCS with missing samples

Minimum fourier measurements for stable recovery of block sparse signal

Modified adaptive basis pursuits for recovery of correlated sparse signals

Band-limited extrapolation on the sphere for signal reconstruction in the presence of noise

Combining Spread Spectrum Compressive Sensing with rakeness for low frequency modulation in RMPI architecture

A homotopy recursive-in-model-order algorithm for weighted Lasso

Fused lasso with a non-convex sparsity inducing penalty

Practical ReProCS for separating sparse and low-dimensional signal sequences from their sum — Part 1

Compressed sensing for block-sparse smooth signals

Time-varying filtering and separation of nonstationary FM signals in strong noise environments

The natural scale of signals: Pulse duration and superoscillations

System approximation with general measurement functionals

Active target detection with mobile agents

Robust measure transformed music for DOA estimation

Monte-carlo estimation from observation on stiefel manifold

Quasi-maximum likelihood estimator of multiple polynomial-phase signals

Distance estimation based on phase detection with robust Chinese remainder theorem

A hybrid data association model for efficient multi-target maximum likelihood estimation

RSS-based localization in non-homogeneous environments

A new importance-sampling ML estimator of time delays and angles of arrival in multipath environments

Sparse Gaussian noisy independent component analysis

Vector ℓ0 latent-space principal component analysis

Sparse component analysis via dyadic cyclic descent

On blind channel identification and equalization over Galois fields

Robust blind calibration via total least squares

An optimum shrinkage estimator based on minimum-probability-of-error criterion and application to signal denoising

Analog joint source channel coding for block fading Multiple Access Channels

Optimization of zero-delay mappings for distributed coding by deterministic annealing

Analog joint source channel coding for Gaussian Broadcast Channels

Variable-length versus fixed-length coding: On tradeoffs for soft-decision decoding

Asymptotic analysis and design of LDPC codes for laurent-based optimal and suboptimal CPM receivers

Achieving full-diversity and fast maximum likelihood decoding in asynchronous analog network coding

A study on the statistical modeling of fading and its effects on system performance using SIRP and SDP methods

Geometry-based stochastic modeling and estimation of vehicle to vehicle channels

A grey-box modelling approach for the nonlinear parametric channel

Multi-scale multi-lag channel estimation using low rank structure of received signal

Multi-image aggregation for better visual object retrieval

Investigating and predicting social and visual image interestingness on social media by crowdsourcing

Sparse moving factorization for subspace video stabilization

A scale-adaptive extension to methods based on LBP using scale-normalized Laplacian of Gaussian extrema in scale-space

Individualized matching based on logo density for scalable logo recognition

Finger detection and hand posture recognition based on depth information

Change detection based on features invariant to monotonic transforms and spatial constrained matching

Change detection on SAR images using divisive normalization-based image representation

Motion detection with spatiotemporal sequences

A vanishing point-based global descriptor for Manhattan scenes

People counting with image retrieval using compressed sensing

Intrinsic prior for Bayesian classification of texture images

Information Bottleneck-based relevant knowledge representation in large-scale video surveillance systems

Functional relevant multichannel kernel adaptive filter for human activity analysis

Physiological parameter monitoring of drivers based on video data and independent vector analysis

Non-invasivemonitoring of fetal movements using time-frequency features of accelerometry

Real-time swallowing detection based on tracheal acoustics

Fuzzy logic based emotion classification

Mobile real-time arousal detection

Design of a reliable processing pipeline for the non-intrusive measurement of feet trajectories with lasers

PhotoECG: Photoplethysmographyto estimate ECG parameters

Power-efficient joint compressed sensing of multi-lead ECG signals

A weighted ℓ1 minimization algorithm for compressed sensing ECG

Robust classification between normal and abnormal lung sounds using adventitious-sound and heart-sound models

Compressive sensing of ECG signals based on mixed pseudonorm of the first- and second-order differences

Online Bayesian apnea-bradycardia detection using auto-regressive models

Learning-based heart rate detection from remote photoplethysmography features

Fetal heart rate detection using VPW-FRI

Sparse sound field representation in recording and reproduction for reducing spatial aliasing artifacts

Robust beamforming under uncertainties in the loudspeakers directivity pattern

The design of Ambisonic reproduction system based on dynamic gain parameters

Fast modelling of pinna spectral notches from HRTFs using linear prediction residual cepstrum

Enhancing vertical localization with image-guided selection of non-individual head-related transfer functions

HRTF magnitude synthesis via sparse representation of anthropometric features

Anthropometric-based customization of head-related transfer functions using Isomap in the horizontal plane

MMSE-optimal enhancement of complex speech coefficients with uncertain prior knowledge of the clean speech phase

Speech enhancement using segmental nonnegative matrix factorization

An evaluation of excitation feature prediction in a hybrid approach to electrolaryngeal speech enhancement

ML estimation of memoryless nonlinear distortions in audio signals

Network inference and change point detection for piecewise-stationary time series

A maximal figure-of-merit learning approach to maximizing mean average precision with deep neural network based classifiers

An efficient sparse kernel adaptive filtering algorithm based on isomorphism between functional subspace and Euclidean space

Improved convergence performance of adaptive algorithms through logarithmic cost

Mixed maps for learning a Kolmogoroff-Nagumo-type average element on the compact Stiefel manifold

Estimators for unnormalized statistical models based on self density ratio

Clustering based online learning in recommender systems: A bandit approach

Looking for the same needle in multiple haystacks: Performance bounds

Projentropy: Using entropy to optimize spatial projections

Improving the tracking ability of KRLS using Kernel Subspace Pursuit

Non-uniform feature sampling for decision tree ensembles

Extreme-value graphical models with multiple covariates

Learning multiple concepts with incremental diverse density

Audio tampering detection using multimodal features

Synthesizing real-time speech-driven facial animation

Speech driven talking head from estimated articulatory features

Evaluation of HMM-based visual laughter synthesis

Sentiment retrieval on web reviews using spontaneous natural speech

Detecting planar surface using a light-field camera with application to distinguishing real scenes from printed photos

Power-spectral analysis of head motion signal for behavioral modeling in human interaction

Late fusion and calibration for multimedia event detection using few examples

Temporal synchronization of multiple audio signals

Human action recognition using associated depth and skeleton information

Exploring the use of ENF for multimedia synchronization

Continuous visual speech recognition for multimodal fusion

Deep recurrent de-noising auto-encoder and blind de-reverberation for reverberated speech recognition

Learning spectral mapping for speech dereverberation

Restoration of instantaneous amplitude and phase using Kalman filter for speech enhancement

On the use of Early-To-Late Reverberation ratio for ASR in reverberant environments

Comparison of post-processing methods for intelligibility enhancement of narrowband speech in a mobile phone framework

Simple and artefact-free spectral modifications for enhancing the intelligibility of casual speech

Performance bounds for joint estimation of ionospheric and target parameters in MIMO-OTH radar

Waveform selection for range and Doppler estimation via Barankin bound signal-to-noise ratio threshold

A Ziv-Zakaï type bound for hybrid parameter estimation

Fundamental localization accuracy in narrowband array-based systems

Ziv-Zakai bound for time delay estimation of unknown deterministic signals

Approximate least squares

Neural decoding using a nonlinear generative model for brain-computer interface

Subspace denoising of EEG artefacts via multivariate EMD

Bayesian detection of single-trial event-related potentials

Assessment of new spectral features for eeg-based emotion recognition

Synchrony analysis of paroxysmal gamma waves in meditation EEG

Reduced-rank neural activity index for EEG/MEG multi-source localization

Room statistics and direct-to-reverberant ratio estimation from dual-channel signals

Non-intrusive estimation of the level of reverberation in speech

A method for converting between cylindrical and spherical harmonic representations of sound fields

Multizone soundfield reproduction in reverberant rooms using compressed sensing techniques

Generation of multiple sound zones by spatial filtering in wavenumber domain using a linear array of loudspeakers

PDE-based interpolation method for optically visualized sound field

Energy consumption in multi-user MIMO systems: Impact of user mobility

Robust transmit designs for an energy harvesting multicast system

Joint transceiver design for MISO swipt interference channel

Energy-constrained throughput maximization for point-to-point communications

Energy harvesting for relay-assisted communications

Interference power recycling in two-scale ad hoc wireless networks

State-dependent opinion dynamics

A proximal gradient algorithm for tracking cascades over networks

Information aggregation in a beauty contest game

Online ratings: Convergence towards a positive perspective?

Towards a spectral characterization of signals supported on small-world networks

Unsupervised social media events clustering using user-centric parallel split-n-merge algorithms

Emotions are a personal thing: Towards speaker-adaptive emotion recognition

A feature selection and feature fusion combination method for speaker-independent speech emotion recognition

Automatic detection of expressed emotion in Parkinson's Disease

Introducing shared-hidden-layer autoencoders for transfer learning and their application in acoustic emotion recognition

Social signal classification using deep blstm recurrent neural networks

Visual-only discrimination between native and non-native speech

Simplified and supervised i-vector modeling for speaker age regression

Affective language model adaptation via corpus selection

Inferring social relationships in a phone call from a single party's speech

Automatic characterization of speaking styles in educational videos

Automatic analysis of speech quality for aphasia treatment

Ecologically valid long-term mood monitoring of individuals with bipolar disorder using speech

Automatic detection of psychological distress indicators and severity assessment in crisis hotline conversations

Mandarin tone classification without pitch tracking

Role play dialogue topic model for language model adaptation in multi-party conversation speech recognition

Static interpolation of exponential n-gram models using features of features

Improving language modeling by using distance and co-occurrence information of word-pairs and its application to LVCSR

Optimization of Neural Network Language Models for keyword search

Variance regularization of RNNLM for speech recognition

Query-based composition for large-scale language model in LVCSR

Paraphrastic neural network language models

Efficient lattice rescoring using recurrent neural network language models

Code switch language modeling with Functional Head Constraint

Abin-based ontological framework for low-resourcen-gram smoothing in language modelling

Frames from generalized group fourier transforms and SL2(Fq)

Block processing with iterative correction filters for time-interleaved ADCs

Ramanujan-sum expansions for finite duration (FIR) sequences

Second-order total Generalized Variation constraint

Magnitude-constrained sequence design with application in MRI

Sparsity fine tuning in wavelet domain with application to compressive image reconstruction

Sparse signal recovery under poisson statistics for online marketing applications

Iterative soft-thresholding for time-varying signal recovery

Algebraic phase unwrapping over collection of triangles based on two-dimensional spline smoothing

Information-maximizing prefilters for quantization

Matrix recovery from quantized and corrupted measurements

Selective analytic signal construction from a non-uniformly sampled bandpass signal

Denoising using multi-stage randomized orthogonal matching pursuit

Efficient software synthesis of dynamic dataflow programs

Cooperative CPU+GPU deblocking filter parallelization for high performance HEVC video codecs

Efficient duty-cycle mismatch compensation in digital transmitter

A methodology for optimizing buffer sizes of dynamic dataflow fpgas implementations

Design of sparse-signal processing in radar systems

3-D stacked memory system architecture exploration by esl virtual platform and reconfigurable stacking memory architecture in 3D-DSP SoC system

Computing resource minimization with content-aware workload estimation in cloud-based surveillance systems

Low complexity subband analysis using quadrature mirror filters

Leakage-aware scratch-pad memory banking for embedded multidimensional signal processing

Fault tolerance analysis of digital feed-forward deep neural networks

Embedding polynomial time memory mapping and routing algorithms on-chip to design configurable decoder architectures

Robust decision feedback equalizer scheme by using sphere-decoding detector

On the stochastic modeling of desynchronization convergence in wireless sensor networks

Distributed Bayesian estimation of arrival rates in asynchronous monitoring networks

Distributed detection with censoring sensors under dependent observations

Energy-saving gossip algorithm for compressed sensing in multi-agent systems

Distributed blind system identification in sensor networks

Decentralized vs. centralized scheduling in wireless sensor networks for data fusion

Probabilistic sensor management for target tracking via compressive sensing

Sparsity-promoting adaptive sensor selection for non-linear filtering

Topology optimization for energy-efficient communications in consensus wireless networks

First maurdor 2013 evaluation campaign in scanned document image processing

GPU-accelerated joint 1D and 2D barcode localization on smartphones

Joint learning of foreground region labeling and depth ordering

Multi-scale crest line extraction based on half Gaussian Kernels

Hierarchical image content analysis with an embedded marked point process framework

Combination of graph theoretic grouping and time-frequency analysis for image segmentation

Automatic initialization for naval application of graph segmentation techniques: A comparative study

A new method for 2D-vector blood flow imaging based on unconventional beamforming techniques

Dynamic receive aperture downsampling for ultrasound imaging

Segmentation of ultrasound images for phlebotomy applications

A nonlinear ultrasound propagation simulator using the Slowly Varying Envelope Approximation

An integrated system for the evaluation of flow Mediated Dilation

Amplitude and phase estimator for real-time biomedical spectral Doppler applications

High frame rate compounding for nonlinear B/A parameter ultrasound imaging in echo mode — simulation results

Real-time implementation of a novel algorithm for ultrasound freehand elastography of breast lesions

Adaptive multichannel equalization applied to room acoustics exploiting the sparsity of target response

Probabilistic integration of diffuse noise suppression and dereverberation

Speech dereverberation using weighted prediction error with Laplacian model of the desired signal

Frequency-domain single-channel inverse filtering for speech dereverberation: Theory and practice

Single channel reverberation suppression based on sparse linear prediction

Blind RT60 estimation robust across room sizes and source distances

Towards efficient audio thumbnailing

Learning to segment songs with ordinal linear discriminant analysis

Vocal timbre analysis using latent Dirichlet allocation and cross-gender vocal timbre similarity

Modified lasso screening for audio word-based music classification using large-scale dictionary

Audio part mixture alignment based on hierarchical nonparametric Bayesian model of musical audio sequence collection

A supervised approach to hierarchical metrical cycle tracking from audio music recordings

Improving instrument recognition in polyphonic music through system integration

Collaborative representation, sparsity or nonlinearity: What is key to dictionary based classification?

Learning high-dimensional nonlinear mapping via compressed sensing

Scalable sparse approximation of a sample mean

A fast variational approach for Bayesian compressive sensing with informative priors

Dictionary learning for sparse representation: Complexity and algorithms

Change detection in streams of signals with sparse representations

Sparse kernel recursive least squares using L1 regularization and a fixed-point sub-iteration

Doubly sparse transform learning with convergence guarantees

Blockwise coordinate descent schemes for sparse representation

Closed form fourier-based transmit beamforming for MIMO radar

MIMO radar capability on powerful jammers suppression

Unimodular code design for MIMO radar using Bhattacharyya distance

MIMO radar performance analysis under K-distributed clutter

MIMO radar demystified and where it makes sense to use

MIMO radar filterbank design for interference mitigation

Generalized ambiguity function for the MIMO radar with correlated waveforms

Signal model and detection performance for MIMO-OTH radar with multipath ionospheric propagation and non-point targets

Minimum sidelobe beampattern design for MIMO radar systems: A robust approach

Approaching peak correlation bounds via alternating projections

Improved phonotactic language recognition based on RNN feature reconstruction

Language recognition system using language branch discriminative information

Introducing attribute features to foreign accent recognition

Automatic language identification using deep neural networks

Extended phone log-likelihood ratio features and acoustic-based i-vectors for language recognition

Subspace Gaussian mixture model for computer-assisted language learning

Regularizing inverse problems in image processing with a manifold-based model of overlapping patches

Gaussian-Cauchy mixture modeling for robust signal-dependent noise estimation

New bivariate statistical model of natural image correlations

A multivariate statistical model for multiple images acquired by homogeneous or heterogeneous sensors

Saliency driven clustering for salient object detection

2D Hilbert-Huang Transform

Signal processing challenges for radio astronomical arrays

RFI spatial processing at nancay observatory : Approaches and experiments

Robust radio interferometric calibration

Holistic power analysis of implementation alternatives for a very large scale synthesis array with phased array stations

A computationally efficient calibration algorithm for the LOFAR radio astronomical array

Purify: A new algorithmic framework for next-generation radio-interferometric imaging

On-line continuous-time music mood regression with deep recurrent neural networks

Phone sequence modeling with recurrent neural networks

Deep learning of split temporal context for automatic speech recognition

Minimum Variance Extreme Learning Machine for human action recognition

3D gesture classification with convolutional neural networks

Deep hybrid networks with good out-of-sample object recognition

On the convergence of average consensus with generalized metropolis-hasting weights

Decentralized linearized alternating direction method of multipliers

Optimal power allocation for distributed blue estimation with linear spatial collaboration

Robust detection and social learning in tandem networks

Consensus algorithms with state-dependent weights

Incentivizing information sharing in networks

Distributed least mean squares strategies for sparsity-aware estimation over Gaussian Markov random fields

Shrinkage tuning based on an unbiased MSE estimate for sparsity-aware adaptive filtering

Distributed Bayesian learning with a Bernoulli model

Diffusion LMS for clustered multitask networks

An adaptive line enhancer based on the convex combination of two IIR filters

An Adaptive Projected Subgradient based algorithm for robust subspace tracking

Noise-robust speech recognition with exemplar-based sparse representations using Alpha-Beta divergence

Extension of uncertainty propagation to dynamic MFCCS for noise robust ASR

Fusion of multiple uncertainty estimators and propagators for noise robust ASR

A compact formulation of turbo audio-visual speech recognition

Estimating room acoustic parameters for speech recognizer adaptation and combination in reverberant environments

Impact of single-microphone dereverberation on DNN-based meeting transcription systems

Recurrent deep neural networks for robust speech recognition

Factorized adaptation for deep neural network

Using neural network front-ends on far field multiple microphones based speech recognition

Robust far-field spoken command recognition for home automation combining adaptation and multichannel processing

Highly accurate phonetic segmentation using boundary correction models and system fusion

Fusion of diverse denoising systems for robust automatic speech recognition

Unsupervised non-parametric Bayesian modeling of non-stationary noise for model-based noise suppression

A comparison of two optimization techniques for sequence discriminative training of deep neural networks

Joint training of convolutional and non-convolutional neural networks

Reduction of acoustic model training time and required data passes via stochastic approaches to maximum likelihood and discriminative training

Data Augmentation for deep neural network acoustic modeling

Asynchronous stochastic optimization for sequence training of deep neural networks

Joint acoustic modeling of triphones and trigraphemes by multi-task learning deep neural networks for low-resource speech recognition

Standalone training of context-dependent deep neural network acoustic models

GMM-free DNN acoustic model training

Multilingual shifting deep bottleneck features for low-resource ASR

A family of discriminative training criteria based on the F-divergence for deep neural networks

Lattice based optimization of bottleneck feature extractor with linear transformation

But neural network features for spontaneous Vietnamese in BABEL

Sequence training of multiple deep neural networks for better performance and faster training speed

Single-channel mixed speech recognition using deep neural networks

Robust regularized least squares estimation in the presence of bounded data uncertainties

Convex separable problems with linear and box constraints

Covariance estimation in elliptical models with convex structure

Optimal stochastic design for multi-parameter estimation problems

MERIT: A monotonically error-bound improving technique for unimodular quadratic programming

Efficient peak extraction of proton NMR spectroscopy using lineshape adaptation

Rényi information transfer: Partial rényi transfer entropy and partial rényi mutual information

Approximate least squares parameter estimation with structured observations

Maximum a posteriori estimation of signal rank

Hybrid-ARQ as a communications security measure

Secrecy rate maximization for MIMO Gaussian wiretap channels with multiple eavesdroppers via alternating matrix POTDC

Network-coded cooperation for a two-user wiretap channel

Power allocation for energy-constrained cognitive radios in the presence of an eavesdropper

Efficient jamming strategies on a MIMO Gaussian channel with known target signal covariance

The impact of finite-alphabet input on the secrecy-achievable rates for broadcast channel with confidential message

Robust relay beamforming for multiple-antenna amplify-and-forward relay system in the presence of eavesdropper

Algorithmic solutions for pilot design optimization in arbitrarily correlated scenarios

Training signal design for MIMO channel estimation with correlated disturbance

Inter-user interference in molecular communication networks

A phase likelihood-based algorithm for blind identification of PSK signals

On the accuracy of the high SNR approximation of the differential entropy of signals in additive Gaussian noise

Feedback blind phase synchronization for QAM signals based on circular harmonic decomposition

Distributed clock synchronization and ranging in time-variant wireless networks

Joint map time and frequency synchronization in presence of imperfect channel state information

Timestamp-free network synchronization with random pairwise message exchanges

Single-carrier modulation with ML equalization for large-scale antenna systems over Rician fading channels

Distributional upper bound on the interference in spatial wireless multiuser ultrawideband communication systems

Frequency-domain GLR detection of cyclostationary signals in frequency-selective channels

Joint CFO and I/Q imbalance compensation for the SC-IFDMA system uplink

Selection diversity and linear equalization over frequency selective channels for single carrier filter bank-based transmissions

Joint Denoising and demosaicking of noisy CFA images based on inter-color correlation

Reconstruction of multiview images taken with non-regular sampling sensors

Image super-resolution via Kernel regression of sparse coefficients

Image super-resolution using multi-layer support vector regression

Single color image super-resolution using quaternion-based sparse representation

Block-adaptive DCT-Wiener image up-sampling

Image retargeting with protection of object arrangement

Fast and efficient intra-frame deinterlacing using observation model based bilateral filter

Ellipse fitting using finite rate of innovation principles

On the statistics of natural stochastic textures and their application in image processing

Analysis of sampling pattern and Luma-Chroma filter design for subpixel-based image downsampling

On application of rational Discrete Short Time Fourier Transform in epileptic seizure classification

EEG ‘diarization’ for the description of neonatal brain injuries

Distributed eye blink artifact removal in a wireless EEG sensor network

Classification of kinetics of movement for lower limb using covariate shift method for brain computer interface

Gradient artifact removal in concurrently acquired EEG data using independent vector analysis

Artifact reduction in multichannel pervasive EEG using hybrid WPT-ICA and WPT-EMD signal decomposition techniques

A performance study of various brain source imaging approaches

Novel image classification based on decision-level fusion of EEG and visual features

Modulation frequency analysis of seizures in neonatal EEG

Assessing subjective perception of audio quality by measuring the information flow on the brain-response channel

On the use of time-frequency features for detecting and classifying epileptic seizure activities in non-stationary EEG signals

Grading brain injury in neonatal EEG using SVM and supervector kernel

Beyond 2D for Brain-Computer interfaces: Two 3D extensions of the P300-Speller

Long-term movement tracking from Local Field Potentials with an adaptive open-loop decoder

Frequency domain acoustic echo reduction based on Kalman smoother with time-varying noise covariance matrix

Signal-based late residual echo spectral variance estimation

Look-ahead near-end compensation in acoustic echo cancellation

Frequency domain acoustic echo canceller that handles asynchronous A/D and D/A clocks

Misalignment analysis and insights into the performance of clipped-input LMS with correlated Gaussian data

Significance-aware Hammerstein group models for nonlinear acoustic echo cancellation

Unsupervised feature extraction for multimedia event detection and ranking using audio content

Robust acoustic feature extraction for sound classification based on noise reduction

Generalized Gaussian Distribution Kullback-Leibler kernel for robust sound event recognition

A dual-microphone subband-based Voice Activity Detector using higher-order cumulants

Auditory-inspired pitch extraction using a Synchrony Capture Filterbank and phase alignment

Fundamental frequency and model order estimation using spatial filtering

Detecting pathological speech using contour modeling of harmonic-to-noise ratio

A Kalman filter with individual control factors for echo cancellation

Supervised multi-modal topic model for image annotation

Compressed prediction of large-scale urban traffic

Scalable fused Lasso SVM for connectome-based disease prediction

Spike Train kernels for multiple neuron recordings

Ensemble random projection for multi-label classification with application to protein subcellular localization

Finding EEG space-time-scale localized features using Matrix-based penalized discriminant analysis

Questionnaire simplification for fast risk analysis of children's mental health

An eigen-based approach for complex-valued Forecasting

Semi-supervised dimensionality reduction on data with multiple representations for label propagation on facial images

Online semidefinite programming for power system state estimation

Cost-effective kernel ridge regression implementation for keystroke-based active authentication system

An inference framework for detection of home appliance activation from voltage measurements

A new approach for classification of dolphin whistles

Robust adaptive beamforming based on response vector optimization

MIMO RF probe for wide-area indoor human motion monitoring

Optimization of transmit signals to interfere eavesdropping in a wireless LAN

Optimal power allocation and network beamforming for OFDM-based relay networks

Time-varying STAP for nonstationary hot clutter cancellation

Knowledge-aided parametric adaptive matched filter with automatic combining for covariance estimation

ISAR imaging by exploiting the continuity of target scene

A network of HF surface wave radars for maritime surveillance: Preliminary results in the German Bight

On speech quality assessment of artificial bandwidth extension

A maximum a Posterior-based reconstruction approach to speech bandwidth expansion in noise

Exploiting the baseband phase structure of the voiced speech for speech enhancement

Non-linear soft-sounds enhancement for near-end speech intelligibility improvement

Binaural noise suppression based on an unbiased estimator of target PSD in complex noise environments

A structure-preserving training target for supervised speech separation

Large deviations analysis of adaptive distributed detection

Distributed decorrelation in sensor networks with application to distributed particle filtering

Ordinal potential functions for network selection in heterogeneous wireless networks

Crawford-sobel meet Lloyd-Max on the grid

Probabilistic ranking of multi-attribute items using indifference curve

Multi-agent distributed large-scale optimization by inexact consensus alternating direction method of multipliers

Hybrid compression of dynamic 3D mesh data

On human Time-Varying Mesh compression exploiting activity-related characteristics

Compression of human body sequences using graph Wavelet Filter Banks

3D geometry representation using multiview coding of image tiles

Low complexity connectivity driven dynamic geometry compression for 3D Tele-Immersion

Link adaptation for interference alignment with imperfect CSIT

Ergodic interference alignment for the SIMO/MIMO interference channel

Interference alignment (IA) and coordinated multi-point (CoMP) with IEEE802.11AC feedback compression: Testbed results

Performance analysis of distributed cooperation under uncoordinated network interference

Pilot-assisted ergodic interference alignment for wireless networks

Homotopy continuation for vector space interference alignment in MIMO X networks

Jacobi like algorithm for non-orthogonal joint diagonalization of hermitian matrices

Alternating direction method of multipliers for non-negative matrix factorization with the beta-divergence

Non-negative source-filter dynamical system for speech enhancement

Analyzing data into quantized components

An efficient entropy rate estimator for complex-valued signal processing: Application to ICA

Blind qubit state disentanglement with Quantum processing: Principle, criterion and algorithm using measurements along two directions

A video forensic technique for detecting frame deletion and insertion

Guided filtering for PRNU-based localization of small-size image forgeries

Printer identification from micro-metric scale printing

The role of permutation coding in minimum-distortion perfect counterforensics

Joint kernel collaborative representation on Tensor manifold for face recognition

Privacy-preserving function computation by exploitation of friendships in social networks

Sparse representation based on a bag of spectral exemplars for acoustic event detection

Robust full-band adaptive Sinusoidal analysis and synthesis of speech

An adaptive time-frequency analysis scheme for improved real-time speech enhancement

A fixed dimension and perceptually based dynamic sinusoidal model of speech

Energy-constrained minimum variance response filter for robust vowel spectral estimation

Long audio alignment for automatic subtitling using different phone-relatedness measures

Gaussian mixture linear prediction

Time varying linear prediction using sparsity constraints

Design of optimal wavelets for detecting impulse noise in speech

Pitch enhancement motivated by rate-distortion theory

Frequency warping using subglottal resonances: Complementarity with VTLN and robustness to additive noise

Shift-invariant features for speech activity detection in adverse radio-frequency channel conditions

Using contextual information in joint factor eigenspace MLLR for speech recognition in diverse scenarios

Regularized constrained maximum likelihood linear regression for speech recognition

Two-stage speaker adaptation in subspace Gaussian mixture models

Deep neural network trained with speaker representation for speaker normalization

I-vector-based speaker adaptation of deep neural networks for French broadcast audio transcription

Direct adaptation of hybrid DNN/HMM model for fast speaker adaptation in LVCSR based on speaker code

Investigation of unsupervised adaptation of DNN acoustic models with filter bank input

Speaker Adaptive Training using Deep Neural Networks

Cache based recurrent neural network language model inference for first pass speech recognition

Singular value decomposition based low-footprint speaker adaptation and personalization for deep neural network

Real-time one-pass decoding with recurrent neural network language model for speech recognition

Constrained MLE-based speaker adaptation with L1 regularization

Training time reduction and performance improvements from multilingual techniques on the BABEL ASR task

Domain adaptation for parsing in automatic speech recognition

Mean-square performance of the hyperslab-based adaptive projected subgradient method

Set-membership adaptive constrained constant modulus reduced-rank algorithm for beamforming

Statistical analysis of jointly-optimized GSC implementations of beamformer-assisted acoustic echo cancelers

Stability and MSE analyses of affine projection algorithms for sparse system identification

Sequential Bayesian learning in linear networks with random decision making

Adjustment of combination weights over adaptive diffusion networks

Tracking complex-valued multicomponent chirp signals using a complex notch filter with adaptive bandwidth and frequency parameters

A Quaternion Least Mean Phase adaptive estimator

Sparse adaptive multipath tracking for low bandwidth ranging applications

Robust sparse channel estimation for OFDM system using an iterative algorithm based on complex median

Distributed support detection of jointly sparse signals

Distributed quantization for compressed sensing

Adaptive distributed compressed sensing for dynamic high-dimensional hypothesis testing

Compressed acquisition and progressive reconstruction of multi-dimensional correlated data in wireless sensor networks

Recovering signals with variable sparsity levels from the noisy 1-bit compressive measurements

Asymptotic analysis of failed recovery probability in a distributed wireless storage system with limited sum storage capacity

A stochastic approximation approach to load shedding inpower networks

Sparsity-aware channel estimation with contaminated pilot sequence

Fast time-varying channel estimation method for LTE SC-FDMA systems

Flat fading channel estimation based on Dirty Paper Coding

Channel estimation for LTE and LTE-A MU-MIMO uplink with a narrow transmission band

New subspace-based blind channel estimation for orthogonally coded MIMO-OFDM systems

Robust joint CFO and fast time-varying channel tracking for MIMO-OFDM systems

Training signal design for channel estimation in massive MIMO systems

Ziv-Zakai lower bound for UWB based TOA estimation with unknown interference

A decentralized framework for linear coherent estimation with spatial collaboration

ONE-shot blind CFO estimation for OFDM with multi-antenna receiver

TDOA/AOD/AOA localization in NLOS environments

Maximum likelihood SNR estimation over time-varying flat-fading SIMO channels

Video background subtraction using semi-supervised robust matrix completion

Visual object tracking via random ferns based classification

A clustering approach for detecting moving objects captured by a moving aerial camera

Multiple hypotheses data association propagation for robust monocular-based SLAM algorithms

Visual tracking using Blind Source Separation for mixed images

Automatic foreground extraction in video

An integrated system for object tracking, detection, and online learning with real-time RGB-D video

Vehicle speed estimation by license plate detection and tracking

Online co-training ranking SVM for visual tracking

Optical flow estimation using Approximate Nearest Neighbor Field fusion

Parallel particle-PHD filter

Fast shot segmentation combining global and local visual descriptors

A robust, precise and flexible tracking algorithm based on IMS and SWAD

An i-vector based descriptor for alphabetical gesture recognition

Compressed sensing for magnetic resonance images with phase variations

X-ray imaeg contrast enhancement based on tissue attenuation

Volume visualization using sparse nonparametric support vector machines and harmoniccolors

BM3D mridenoising equipped with noise invalidation technique

Hull detection based on largest empty sector angle with application to analysis of realtime MR images

Lossless compression of medical images based on HEVC intra coding

A multi-view approach to consensus clustering in multi-modal MRI

Enhanced retinal image registration accuracy using expectation maximisation and variable bin-sized mutual information

Data adaptive estimation of transversal blood flow velocities

Joint time-domain reshaping and frequency-domain equalization of room impulse responses

Steady-state analysis of biased filtered-x algorithms for adaptive room equalization

A novel decorrelation approach for multichannel system identification

Sparsity-inducing modified filtered-x affine projection algorithms for active noise control

New feedback active noise control system with improved performance

Deep stacking networks with time series for speech separation

Speech-guided source separation using a pitch-adaptive guide signal model

Multichannel audio separation by direction of arrival based spatial covariance model and non-negative matrix factorization

Hybrid model and structured sparsity for under-determined convolutive audio source separation

Phase and level difference fusion for robust multichannel source separation

Multi-channel IIR filtering of audio signals using a GPU

Equalization of excursion and current-dependent nonlinearities in loudspeakers

Hardware and algorithms for ultrasonic depth imaging

Audio packet loss concealment using spectral motion

Feature selection based on survival Cauchy-Schwartz mutual information

Robust feature learning by stacked autoencoder with maximum correntropy criterion

Piecewise constant nonnegative matrix factorization

M-N scatter plots technique for evaluating varying-size clusters and setting the parameters of Bi-CoPaM and Uncles methods

An initialization strategy for the dictionary learning problem

Deflation method for CANDECOMP/PARAFAC tensor decomposition

Clustering of time series using a hierarchical linear dynamical system

First Order Methods for Robust non-negative matrix factorization for large scale noisy data

Multiple kernel interpolation for inverting non-linear dimensionality reduction and dimension estimation

Feature reduction based on Sum-Of-SNR (SOSNR) optimization

Neighborhood selection for thresholding-based subspace clustering

On Fast algorithms for orthogonal Tucker decomposition

Discriminative Exemplar clustering

On the estimation of grid offsets in CS-based direction-of-arrival estimation

An efficient sub-Nyquist receiver architecture for spectrum blind reconstruction and direction of arrival estimation

Accurate reconstruction of rain field maps from Commercial Microwave Networks using sparse field modeling

Fast and stable recovery of Approximately low multilinear rank tensors from multi-way compressive measurements

Improved compressed sensing radar by fusion with matched filtering

Optimal trajectory design for a DTOA based multi-robot angle of arrival estimation system for rescue operations

Wavenumber tracking in a low resolution frequency-wavenumber representation using particle filtering

Design of a robust open spherical microphone array

Tactile tomographic fluid-flow imaging with a robotic whisker array

Outlier removal for improved source estimation in atmospheric inverse problems

Near-optimal source placement for linear physical fields

Physics-based sea clutter model for improved detection of low radar cross-section targets

Source counting in speech mixtures using a variational EM approach for complex WATSON mixture models

Improvements to filterbank and delta learning within a deep neural network framework

Sequence classification using the high-level features extracted from deep neural networks

Improving deep neural networks for LVCSR using dropout and shrinking structure

Exploring one pass learning for deep neural network training with averaged stochastic gradient descent

Accounting for the residual uncertainty of multi-layer perceptron based features

Unsupervised domain adaptation for deep neural network based voice activity detection

Low-cost multi-camera object matching

Extended-bag-of-features for translation, rotation, and scale-invariant image retrieval

Image retrieval based on spatial context with Relaxed Gabriel Graph pyramid

Beyond “project and sign” for cosine estimation with binary codes

Visual reranking with improved image graph

Simultaneous image tagging and geo-location prediction within hypergraph ranking framework

Compressed quantitative MRI: Bloch response recovery through iterated projection

Joint recovery of under sampled signals on a manifold: Application to free breathing cardiac MRI

Model-based iterative reconstruction for synchrotron X-ray tomography

Tomographic reconstruction with adaptive sparsifying transforms

Compressed 3D ultrasound imaging with 2D arrays

Improved MRI reconstruction via non-convex elastic net

Nonlinear estimation of missing ΔLSF parameters by a mixture of Dirichlet distributions

Lossless audio compression in the new IEEE Standard for Advanced Audio Coding

Sinusoidal substitution — An integrated parametric tool for enhancement of transform-based perceptual audio coders

A posteriori voiced/unvoiced probability estimation based on a sinusoidal model

Transform-domain decorrelation in Dolby Digital Plus

Improved low-delay MDCT-based coding of both stationary and transient audio signals

Improved music feature learning with deep neural networks

End-to-end learning for music audio

Exploiting long-term temporal dependencies in NMF using recurrent neural networks with application to source separation

From music audio to chord tablature: Teaching deep convolutional networks toplay guitar

Improved musical onset detection with Convolutional Neural Networks

A deep representation for invariance and music classification

Performance of partial zero-forcing beamforming in large random spectrum sharing networks

An accurate and efficient analysis of a MBSFN network

A statistical approach to interference reduction in distributed large-scale antenna systems

Analysis of RF energy harvesting in large-scale networks using absorption function

Transmission mode selection for network-assisted device to device communication: A Levy-bandit approach

Distributed energy-efficient power optimization in cellular relay networks with minimum rate constraints

Noise-robust detection of peak-clipping in decoded speech

Speech enhancement usinga modulation domain Kalman filter post-processor with a Gaussian Mixture noise model

Mask-based enhancement for very low quality speech

A two-stage approach for improving the perceptual quality of separated speech

A feature study for classification-based speech separation at very low signal-to-noise ratio

On the EM algorithm for the estimation of speech AR parameters in noise

Parametric multichannel noise reduction algorithm utilizing temporal correlations in reverberant environment

Speech enhancement combining statistical models and NMF with update of speech and noise bases

Noise reduction in the time domain using joint diagonalization

Single microphone wind noise PSD estimation using signal centroids

Binaural noise PSD estimation for binaural speech enhancement

A negentropy based adaptive line enhancer for single-channel noise reduction at low SNR conditions

Discriminative score normalization for keyword search decision

I-vector based language modeling for spoken document retrieval

Rescoring Confusion Networks for Keyword Search

Zero-resource spoken term detection using hierarchical graph-based similarity search

Translating TED speeches by recurrent neural network based translation model

An autoencoder with bilingual sparse features for improved statistical machine translation

Out-of-vocabulary word detection in a speech-to-speech translation system

Intra-content term weighting for topic segmentation

Limited resource term detection for effective topic identification of speech

Effective representations for leveraging language content in multimedia event detection

Use of articulatory bottle-neck features for query-by-example spoken term detection in low resource scenarios

Unsupervised query-by-example spoken term detection using segment-based Bag of Acoustic Words

Calibration and multiple system fusion for spoken term detection using linear logistic regression

Feature fusion for high-accuracy keyword spotting

Projection onto the cosparse set is NP-hard

Group-sparse matrix recovery

Overcomplete sparsifying transform learning algorithm using a constrained least squares approach

On recovery of block sparse signals from multiple measurements

Information alignment for consensus with interference

Efficient convolutional sparse coding

Subspace metrics for multivariate dictionaries and application to EEG

Nested Sparse Bayesian Learning for block-sparse signals with intra-block correlation

Dynamic sparse coding with smoothing proximal gradient method

Analysis SimCO: A new algorithm for analysis dictionary learning

Iterative log thresholding

High resolution sparse estimation of exponentially decaying signals

Flexible parallel algorithms for big data optimization

Sparse LMS via online linearized Bregman iteration

Combination coefficients for fastest convergence of distributed LMS estimation

Distributed diffusion-based LMS for node-specific parameter estimation over adaptive networks

Learning distributed jointly sparse systems by collaborative LMS

Robust distributed detection over adaptive diffusion networks

Sparse constraint affine projection algorithm with parallel implementation and application in compressive sensing

Convergence analysis of kernel LMS algorithm with pre-tuned dictionary

There's plenty of room at the bottom: Incremental combinations of sign-error LMS filters

Efficient learning by consensus over regular networks

The myopic solution of the Multi-Armed Bandit Compressive Spectrum Sensing problem

Distributed wideband spectrum sensing for cognitive radio networks

Maximum Eigenvalue detection for spectrum sensing under correlated noise

Mobile distributed compressive sensing for spectrum sensing

Gerschgorin disk-based robust spectrum sensing for cognitive radio

Joint sensing and resource allocation for underlay cognitive radios

A non-periodic sensing strategy for improved throughput in cognitive radio networks

Cognitive transmit beamforming from binary link quality feedback for point to point MISO channels

Graph-based robust resource allocation for cognitive radio networks

Opportunistic user scheduling in MIMO cognitive radio networks

Robust beamforming with decentralized interference coordination in cognitive radio networks

Interference shaping constraints for underlay MIMO interference channels

Intervention framework for counteracting collusion in spectrum leasing systems

Channel-aware distributed dynamic spectrum access via learning-based heterogeneous multi-channel auction

A convex-optimization framework for frame-level optimal rate allocation in predictive video coding

Low-delay window-based rate control scheme for video quality optimization in video encoder

Region-of-interest based rate control scheme for high efficiency video coding

SSIM-based rate-distortion optimization in H.264

Palette-based compound image compression in HEVC by exploiting non-local spatial correlation

HEVC decoder acceleration on multi-core X86 platform

A low-complexity and lossless reference frame encoder algorithm for video coding

An efficient motion vector prediction method for avoiding AMVP data dependency for HEVC

Adaptive re-quantization for high dynamic range video compression

Joint inter-intra prediction based on mode-variant and edge-directed weighting approaches in video coding

Weighted-prediction-based color gamut scalability extension for the H.265/HEVC video codec

Smart decoder: A new paradigm for video coding

A new lossy compression scheme for encrypted gray-scale images

Formulation of visual secret sharing schemes encrypting multiple images

Security of audio secret sharing scheme encrypting audio secrets with bounded shares

Efficient multi-party computation with collusion-deterred secret sharing

Secure multi-party consensus gossip algorithms

On the performance analysis of data fusion schemes with Byzantines

Adjusting bit-stream video watermarking systems to cope with HTTP adaptive streaming transmission

Efficient reversible data hiding based on two-dimensional pixel-intensity-histogram modification

Improved control for low bit-rate reversible watermarking

A new method for image reconstruction using self-embedding

Source-channel coding approach to generate tamper-proof images

Power-based signal-to-diffuse ratio estimation using noisy directional microphones

Extended Kalman filter with probabilistic data association for multiple non-concurrent speaker localization in reverberant environments

Source number estimation in reverberant conditions via full-band weighted, adaptive fuzzy c-means clustering

Calibration of distributed sound acquisition systems using TOA measurements from a moving acoustic source

Sparse cepstral codes and power scale for instrument identification

True discrete cepstrum: An accurate and smooth spectral envelope estimation for music processing

Timbre replacement of harmonic and drum components for music audio signals

Phase constrained complex NMF: Separating overlapping partials in mixtures of harmonic musical sources

On the reduction of false positives in singing voice detection

A nonlinear second-order digital oscillator for Virtual Acoustic Feedback

Music signal separation based on Bayesian spectral amplitude estimator with automatic target prior adaptation

A novel cepstral representation for timbre modeling of sound sources in polyphonic mixtures

IEEE 802.11AC MIMO transmitter baseband processing on customized VLIW processor

Scalable, efficient ASICS for the square kilometre array: From A/D conversion to central correlation

X1000 real-time phoneme recognition VLSI using feed-forward deep neural networks

A high throughput LDPC decoder using a mid-range GPU

Using the GPU for fast symmetry-based dense stereo matching in high resolution images

Barometric and GPS altitude sensor fusion

Boosted multi-class object detection with parallel hardware implementation for real-time applications

GPU based implementation of multichannel adaptive room equalization

Australian SKA Pathfinder: Digital signal processing implementation and early engineering test array results

Multi-core software architecture for the scalable HEVC decoder

Fast and efficient real-time GPU based implementation of wave field synthesis

Fast software polar decoders

DSP implementation of sqrt(M)-Best rotated QAM soft-demapper

A fast architecture for finding maximum (or minimum) values in a set

A modified broadcast strategy for distributed signal estimation in a wireless sensor network with a tree topology

A gossiping approach to sampling clock synchronization in wireless acoustic sensor networks

Distributed Total Least Squares estimation over networks

Performance-energy tradeoffs in cutset wireless sensor networks

Optimal spectrum leasing and network beamforming for two-way relay networks

Multi-antenna relay network beamforming design for multiuser peer-to-peer communications

Filter-and-forward relay beamforming using output power minimization

SINR balancing for non-regenerative two-way relay networks with interference neutralization

Reduced order distributed particle filter for electric power grids

Sensor fault detection by sparsity optimization

How many bits from how many sensors? A trade-off in distributed nearest-neighbor learning

Bayesian design of decentralized hypothesis testing under communication constraints

Generalized quadratically constrained quadratic programming for signal processing

An auto-encoder based approach to unsupervised learning of subword units

Multilingual deep neural network based acoustic modeling for rapid language adaptation

Fine context, low-rank, softplus deep neural networks for mobile speech recognition

Investigation of maxout networks for speech recognition

Adaptation of multilingual stacked bottle-neck neural network structure for new language

On modeling context-dependent clustered states: Comparing HMM/GMM, hybrid HMM/ANN and KL-HMM approaches

Sparse dictionary learning from 1-BIT data

Estimation of simultaneously structured covariance matrices from quadratic measurements

Robust binary fused compressive sensing using adaptive outlier pursuit

Adaptive variational sparse Bayesian estimation

Kernel selection for power market inference via block successive upper bound minimization

A block coordinate descent method of multipliers: Convergence analysis and applications

Accent conversion through cross-speaker articulatory synthesis

Accent rating by native and non-native listeners

Lexical stress classification for language learning using spectral and segmental features

Adaptive and discriminative modeling for improved mispronunciation detection

Phonological modeling of mispronunciation gradations in L2 English speech of L1 Chinese learners

The Electromagnetic Articulography Mandarin Accented English (EMA-MAE) corpus of acoustic and 3D articulatory kinematic data

Multiuser downlink beamforming with interference cancellation using a SDP-based branch-and-bound algorithm

Performance analysis of MAX-SINR algorithm under CSI mismatch

Optimal decision threshold for eigenvalue-based spectrum sensing techniques

Optimal MIMO broadcasting over time-varying wireless channels for energy harvesting transmitter with non-ideal circuit power

Optimum discrete single group multicast beamforming

Blind spectra separation and direction finding for cognitive radio using temporal correlation-domain ESPRIT

Joint day-ahead power procurement and load scheduling using stochastic alternating direction method of multipliers

Non-stationary demand side management method for smart grids

Asynchronous alternating direction method of multipliers applied to the direct-current optimal power flow problem

An off-line optimization approach for online energy storage managementin microgrid system

Intertemporal trading economy model for smart grid household energy consumption

Integrating energy storage into the smart grid: A prospect theoretic approach

Non-uniform sampling and Gaussian process regression in transport of intensity phase imaging

Compressive spectral imaging with colored-patterned detectors

Compressive hyperspectral imaging using progressive total variation

Compressive spectral imaging based on colored coded apertures

Enhanced wall clutter mitigation for compressed through-the-wall radar imaging using joint Bayesian sparse signal recovery

An unmixing-based method for the analysis of thermal hyperspectral images

Unsupervised spoken term detection with spoken queries by multi-level acoustic patterns with varying model granularity

High-performance Query-by-Example Spoken Term Detection on the SWS 2013 evaluation

Using word burst analysis to rescore keyword search candidates on low-resource languages

The 2013 BBN Vietnamese telephone speech keyword spotting system

Normalizationofphonetic keyword search scores

Automatic keyword selection for keyword search development and tuning

Efficient spoken term detection using confusion networks

Calibration and fusion of query-by-example systems — But SWS 2013

Multilingual MRASTA features for low-resource keyword search and speech recognition systems

Featherweight phonetic keyword search for conversational speech

Subword-based modeling for handling OOV words inkeyword spotting

Semi-supervised term-weighted value rescoring for keyword search

Recursive neural network based word topology model for hierarchical phrase-based speech translation

Can voice conversion be used to reduce non-native accents?

Using bidirectional associative memories for joint spectral envelope modeling in voice conversion

Voice conversion in time-invariant speaker-independent space

Voice conversion based on Non-negative matrix factorization using phoneme-categorized dictionary

Audio-visual voice conversion using noise-robust features

Regression approaches to perceptual age control in singing voice conversion

Non-parallel voice conversion using joint optimization of alignment by temporal context and spectral distortion

Improving voice quality of HMM-based speech synthesis using voice conversion method

Guslar: A framework for automated singing voice correction

Pitch modifications of speech based on an adaptive Harmonic Model

Improvement of Probabilistic Acoustic Tube model for speech decomposition

A novel class of BIBO stable recursive nonlinear filters

Introducing Legendre nonlinear filters

Sparse representations in nested non-linear models

Detection of nonlinear mixtures using Gaussian processes: Application to hyperspectral imaging

Nonlinear unmixing of hyperspectral images using a semiparametric model and spatial regularization

Perfect periodic sequences for identification of even mirror fourier nonlinear filters

A robust kernel density estimator based mean-shift algorithm

A particle filtering based kernel HMM predictor

Subband digital predistorsion based on Indirect Learning Architecture

Multi-modal filtering for non-linear estimation

Distributed particle filtering for blind equalization in receiver networks using marginal non-parametric approximations

Robust bootstrap methods with an application to geolocation in harsh LOS/NLOS environments

An adaptive likelihood fusion method using dynamic Gaussian model for indoor target tracking

Independent doubly Adaptive Rejection Metropolis Sampling

Efficient particle-based online smoothing in general hidden Markov models

Multiple transition mode multiple target track-before-detect with partitioned sampling

Particle filtering in high-dimensional systems with Gaussian approximations

An experimental implementation of a particle-based dynamic sensor steering method for tracking and searching for space objects

A poisson series approach to Bayesian Monte Carlo inference for skewed alpha-stable distributions

Fast computation of the L1-principal component of real-valued data

Estimation of ARMA state processes by particle filtering

An adaptive population importance sampler

Monte Carlo limit cycle characterization

On the $L^{4}$ convergence of particle filters with general importance distributions

OFDM spectrum sculpting with active interference cancellation: Keeping spectral spurs at bay

Short preamble-based estimation of highly frequency selective channels in FBMC/OQAM

Cepstrum based detection and classification of OFDM waveforms

Dynamic upstream power back-off for mixtures of vectored and non-vectored VDSL

Frequency-shift filtering for OFDM recovery in narrowband power line communications

A parallel processing approach to filterbank multicarrier MIMO transmission under strong frequency selectivity

A low-complexity blind CFO estimation for OFDM systems

Receiver based PAPR reduction in OFDMA

Sub-Nyquist sampling of OFDM signals for cognitive radios

An advanced multi-carrier modulation for future radio systems

Differential decoding for SFBC OFDM systems in underwater MIMO channels

A nonlinear equalization algorithm for single-carrier block transmission systems

Effective small DIM target detection by local connectedness constraint

Subspace vertex pursuit for separable non-negative matrix factorization in hyperspectral unmixing

Combined intensity and coherent change detection for synthetic aperture radar

Tomographic techniques for the retrieval of tropospheric water vapour fields by using co-rotating LEO satellites

Robust lane detection & tracking based on novel feature extraction and lane categorization

Automatic fault localization using the generalized Earth Mover's distance

Direct tracking from compressive imagers: A proof of concept

PolSAR image speckle reduction based on sparse representation and structure characteristics

Parameter estimation for instantaneous spectral imaging

3D particle volume tomographic reconstruction based on marked point process: Application to Tomo-PIV in fluid mechanics

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Cryptographically secure radios based on directional modulation

Tandem distributed Bayesian detection with privacy constraints

Variable guard band construction to support key reconciliation

Robust secret key capacity for the MIMO induced source model

Secret key generation from multiple cooperative helpers by rate unlimited public communication

Unbiased random sequences from measurements of Poisson processes

Helper-less physically unclonable functions and chip authentication

DCT based ring oscillator Physical Unclonable Functions

Howling detection in hearing aids using Discrete Energy Separation Algorithm-2 and Generalized Teager-Kaiser Operator

Sub-band feedback cancellation with variable step sizes for music signals in hearing aids

A comparison of spectro-temporal representations of audio signals

Visualization of acoustic pressure and velocity patterns with phase information in the pinna cavities at normal modes

Randomness and the reverberation time, RT60, of acoustic responses

Decimation of finite-difference time-domain schemes in 1D and 2D boundary-absorbing acoustic model simulations

Robust minimum statistics project coefficients feature for acoustic environment recognition

A supervised signal-to-noise ratio estimation of speech signals

Probabilistic extraction and discovery of fundamental units in dolphin whistles

New parametric representations of bird sounds for automatic classification

Bird species recognition from field recordings using HMM-based modelling of frequency tracks

Strong impossibility results for noisy group testing

KEOPS: Kernels organized into pyramids

Signal inpainting on graphs via total variation minimization

Probabilistic kernel least mean squares algorithms

Stochastic modeling and disaggregation of energy-consumption behavior

Efficient unimodality test in clustering by signature testing

Logarithmic regret bound over diffusion based distributed estimation

A saddle point algorithm for networked online convex optimization

Sharp performance bounds for graph clustering via convex optimization

A quasi-Newton method for large scale support vector machines

Ranking 2DLDA features based on fisher discriminance

Epigraphical proximal projection for sparse multiclass SVM

Optimization of flexible filter banks based on fast-convolution

Integer word-length optimization for fixed-point systems

An energy-efficient VLSI architecture for pattern recognition via deep embedding of computation in SRAM

A robust message passing based stereo matching kernel via system-level error resiliency

Low power implementation of digital predistortion filter on a heterogeneous application specific multiprocessor

A reduced PAPR PR-NMDFB based DUC architecture for transmit downlink of combined 3GPP LTE and UMTS signals

Adaptive dual-threshold neural signal compression suitable for implantable recording

Low peak-to-average ratio OFDM chirp waveform diversity design

Simplified addressing scheme for mixed radix FFT algorithms

Simulation-driven emulation of collaborative algorithms to assess their requirements for a large-scale WSN implementation

Statistics gathering converters: System level metrics, simulated performance, and process variation robustness

Cluster-based associative memories built from unreliable storage

A hybrid approach to offloading mobile image classification

Parallel programming of a symmetric transport-triggered architecture with applications in flexible LDPC encoding

2013 IEEE International Conference on Acoustics, Speech and Signal Processing

2012 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

2011 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)

2010 IEEE International Conference on Acoustics, Speech and Signal Processing

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On the security of random linear measurements

Content Provider	IEEE Xplore Digital Library
Author	Bianchi, T. Bioglio, V. Magli, E.
Copyright Year	2014
Description	Author affiliation: Dept. of Electron. & Telecommun., Politec. di Torino, Turin, Italy (Bianchi, T.; Bioglio, V.; Magli, E.)
Abstract	In this paper, we analyze the security of compressed sensing (CS) as a cryptosystem. We demonstrate that random linear measurements acquired using a Gaussian i.i.d. matrix reveal only the energy of the sensed signal, and that only the energy of the measurements leaks information about the signal. We provide useful bounds for assessing the information leakage about the energy, linking those bounds to the minimum mean square error achievable by practical estimators. Moreover, we propose a simple strategy based on the normalization of the measurements which achieves, at least in theory, perfect secrecy, enabling the use of CS-based encryption in practical cryptosystems.
Sponsorship	IEEE Signal Process. Soc.
Starting Page	3992
Ending Page	3996
File Size	117128
Page Count	5
File Format	PDF
ISBN	9781479928934
DOI	10.1109/ICASSP.2014.6854351
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-05-04
Publisher Place	Italy
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Sensors Compressed sensing Energy measurement Encryption Information theory security encryption random matrices
Content Type	Text
Resource Type	Article

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