NDLI: Random sequential scheduling for wireless D2D communications

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

General chairs' welcome

Technical chair's welcome

Technical program committee

Table of contents

Direction-of-arrival estimation of speech sources under aliasing conditions

Direction-of-arrival and diffuseness estimation above spatial aliasing for symmetrical directional microphone arrays

On frequency domain models for TDOA estimation

Maximum likelihood approach to “informed” Sound Source Localization for Hearing Aid applications

A novel Time-Delay-of-Arrival estimation technique for multi-microphone audio processing

Representation and modeling of spherical harmonics manifold for source localization

Single-channel blind estimation of reverberation parameters

Direct-ambient decomposition using parametric wiener filtering with spatial cue control

Blur kernel estimation approach to blind reverberation time estimation

Direct-to-Reverberant Ratio estimation using a null-steered beamformer

Foreground suppression for capturing and reproduction of crowded acoustic environments

Noise robust integration for blind and non-blind reverberation time estimation

Speech Separation based on signal-noise-dependent deep neural networks for robust speech recognition

Deep NMF for speech separation

Speaker and noise independent online single-channel speech enhancement

Scalable audio separation with light Kernel Additive Modelling

Phase recovery in NMF for audio source separation: An insightful benchmark

Multi-resolution signal decomposition with time-domain spectrogram factorization

Multi-channel PSD estimators for speech dereverberation - A theoretical and experimental comparison

Multi-channel linear prediction-based speech dereverberation with low-rank power spectrogram approximation

Variational Bayes state space model for acoustic echo reduction and dereverberation

Nested generalized sidelobe canceller for joint dereverberation and noise reduction

Binaural speech enhancement with instantaneous coherence smoothing using the cepstral correlation coefficient

Exploring multi-channel features for denoising-autoencoder-based speech enhancement

Singing voice detection with deep recurrent neural networks

Extracting singing voice from music recordings by cascading audio decomposition techniques

Latent time-frequency component analysis: A novel pitch-based approach for singing voice separation

Structural segmentation of Hindustani concert audio with posterior features

Section-level modeling of musical audio for linking performances to scores in Turkish makam music

Estimating double thumbnails for music recordings

Sound event detection in real life recordings using coupled matrix factorization of spectral representations and class activity annotations

Acoustic scene analysis from acoustic event sequence with intermittent missing event

Robust unsupervised detection of human screams in noisy acoustic environments

Acoustic feature extraction by tensor-based sparse representation for sound effects classification

Unsupervised feature learning for urban sound classification

Combining robust spike coding with spiking neural networks for sound event classification

Novel audio features for capturing tempo salience in music recordings

Multipitch estimation using a PLCA-based model: Impact of partial user annotation

Multi-instrument detection in polyphonic music using Gaussian Mixture based factorial HMM

A feedback framework for improved chord recognition based on NMF-based approximate note transcription

Optimal single-channel noise reduction filtering matrices from the pearson correlation coefficient perspective

Investigation of a parametric gain approach to single-channel speech enhancement

Directionality assessment of adaptive binaural beamforming with noise suppression in hearing aids

On speech quality estimation of phase-aware single-channel speech enhancement

Efficient audio declipping using regularized least squares

System architectures and digital signal processing algorithms for enhancing the output audio quality of stereo FM broadcast receivers

On clock synchronization for multi-microphone speech processing in wireless acoustic sensor networks

Informed monaural source separation of music based on convolutional sparse coding

Low-latency sound-source-separation using non-negative matrix factorisation with coupled analysis and synthesis dictionaries

A pairwise algorithm for pitch estimation and speech separation using deep stacking network

Audio source separation using a redundant library of source spectral bases for non-negative tensor factorization

Relative group sparsity for non-negative matrix factorization with application to on-the-fly audio source separation

NMF-based blind source separation using a linear predictive coding error clustering criterion

Generalized Wiener filtering with fractional power spectrograms

A simple user interface system for recovering patterns repeating in time and frequency in mixtures of sounds

Efficient multichannel nonnegative matrix factorization exploiting rank-1 spatial model

Non-linear distortion reduction for a loudspeaker based on recursive source equalization

Novel sound mixing method for voice and background music

Optimal design of directivity patterns for endfire linear microphone arrays

A simple modification to facilitate robust generalized sidelobe canceller for hearing aids

On directivity factor of the first-order steerable differential microphone array

ℓ1-constrained MVDR-based selection of nonidentical directivities in microphone array

Curvature-based optimization of the trade-off parameter in the speech distortion weighted multichannel wiener filter

Estimation of relative transfer function in the presence of stationary noise based on segmental power spectral density matrix subtraction

Spectral mask estimation using deep neural networks for inter-sensor data ratio model based robust DOA estimation

Microphone array position calibration in the frequency domain using a single unknown source

MASK+: Data-driven regions selection for acoustic fingerprinting

An information-theoretic metric of fingerprint effectiveness

Robust and reliable audio watermarking based on phase coding

Multi-shift principal component analysis based primary component extraction for spatial audio reproduction

Phase-optimized K-SVD for signal extraction from underdetermined multichannel sparse mixtures

Residual noise control using a parametric multichannel Wiener filter

Utilizing spectro-temporal correlations for an improved speech presence probability based noise power estimation

Modulation Wiener filter for improving speech intelligibility

Cepstral noise subtraction for robust automatic speech recognition

Detection and suppression of keyboard transient noise in audio streams with auxiliary keybed microphone

Hierarchical and Lossless Coding of audio objects in Dolby TrueHD

Spectral envelope reconstruction via IGF for audio transform coding

Noise-shaping for closed-loop Multi-Channel Linear Prediction

Globally optimized dynamic bit-allocation strategy for subband ADPCM-based low delay audio coding

Parameter extraction for bass guitar sound models including playing styles

Downbeat tracking with multiple features and deep neural networks

On automatic drum transcription using non-negative matrix deconvolution and itakura saito divergence

On the use of the tempogram to describe audio content and its application to Music structural segmentation

A Conditional Random Field system for beat tracking

Piano music transcription modeling note temporal evolution

Improving music auto-tagging with trigger-based context model

On the influence of microphone array geometry on HRTF-based Sound Source Localization

Multi-source direction-of-arrival estimation in a reverberant environment using single acoustic vector sensor

Robust DOA estimation of heavily noisy gunshot signals

A joint audio-visual approach to audio localization

Source counting in speech mixtures by nonparametric Bayesian estimation of an infinite Gaussian mixture model

Modeling inter-node acoustic dependencies with Restricted Boltzmann Machine for distributed microphone array based BSS

Designing multichannel source separation based on single-channel source separation

IVA algorithms using a multivariate Student's t source prior for speech source separation in real room environments

Efficient manifold preserving audio source separation using locality sensitive hashing

Music separation guided by cover tracks: Designing the joint NMF model

Informed source separation from monaural music with limited binary time-frequency annotation

Statistical modeling of binaural signal and its application to binaural source separation

Estimation of multipath propagation delays and interaural time differences from 3-D head scans

Optically visualized sound field reconstruction based on sparse selection of point sound sources

Visualization of sound field by means of Schlieren method with spatio-temporal filtering

A 3D model for room boundary estimation

Joint optimization of loudspeaker placement and radiation patterns for Sound Field Reproduction

A directional noise suppressor with a specified beamwidth

Trinicon-BSS system incorporating robust dual beamformers for noise reduction

Microphone array for increasing mutual information between sound sources and observation signals

Minimum Bayes risk signal detection for speech enhancement based on a narrowband DOA model

Performance analysis of the covariance subtraction method for relative transfer function estimation and comparison to the covariance whitening method

Optimization for randomly described arrays based on geometry descriptors

Raking echoes in the time domain

Robust sound event recognition using convolutional neural networks

Temporal entropy-based texturedness indicator for audio signals

A dynamic programming variant of non-negative matrix deconvolution for the transcription of struck string instruments

Singing voice analysis and editing based on mutually dependent F0 estimation and source separation

Sparse chroma estimation for harmonic audio

Kernel Additive Modeling for interference reduction in multi-channel music recordings

Compensating for asynchronies between musical voices in score-performance alignment

Modelling the decay of piano sounds

A state-space partitioned-block adaptive filter for echo cancellation using inter-band correlations in the Kalman gain computation

An improved variable step-size zero-point attracting projection algorithm

Efficient FxLMS algorithm with simplified secondary path models

Non-linear acoustic echo cancellation using empirical mode decomposition

Structured sparse signal models and decomposition algorithm for super-resolution in sound field recording and reproduction

Near-field sound propagation based on a circular and linear array combination

Parametric binaural rendering utilizing compact microphone arrays

A down-mixing method for 22.2 multichannel system reproduction

On the preprocessing and postprocessing of HRTF individualization based on sparse representation of anthropometric features

Binaural multichannel Wiener filter with directional interference rejection

Common part estimation of acoustic feedback paths in hearing aids optimizing maximum stable gain

Interaural coherence preservation in MWF-based binaural noise reduction algorithms using partial noise estimation

Active feedback noise control in the presence of impulsive disturbances

Improved Parallel Feedback Active noise control using linear prediction for adaptive noise decomposition

Stability analysis of the FBANC system having delay error in the estimated secondary path model

A Dimensional Contextual Semantic Model for music description and retrieval

An evaluation of methodologies for melodic similarity in audio recordings of Indian art music

Pattern discovery from audio recordings by Variable Markov Oracle: A music information dynamics approach

Tonal complexity features for style classification of classical music

The AMG1608 dataset for music emotion recognition

A histogram density modeling approach to music emotion recognition

Matching Musical Themes based on noisy OCR and OMR input

Phase-sensitive and recognition-boosted speech separation using deep recurrent neural networks

Representation models in single channel source separation

Vocal activity informed singing voice separation with the iKala dataset

Challenges in deploying a microphone array to localize and separate sound sources in real auditory scenes

Maximum a posteriori estimation of room impulse responses

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

A robust sparse approach to acoustic impulse response shaping

Efficient blind estimation of subband reverberation time from speech in non-diffuse environments

Dereverberation sweet spot dilation with combined channel equalization and beamforming

A Bayesian approach to spatial filtering and diffuse power estimation for joint dereverberation and noise reduction

Bird-phrase segmentation and verification: A noise-robust template-based approach

Supervised hierarchical segmentation for bird song recording

HMM-based modelling of individual syllables for bird species recognition from audio field recordings

Classification of whale vocalizations using the Weyl transform

Learning the sparsity basis in low-rank plus sparse model for dynamic MRI reconstruction

4D model-based iterative reconstruction from interlaced views

Combining Compressed Sensing with motion correction in acquisition and reconstruction for PET/MR

Fusion of ultrasound harmonic imaging with clutter removal using sparse signal separation

Tracking changes in functional connectivity of brain networks from resting-state fMRI using particle filters

On quantifying facial expression-related atypicality of children with Autism Spectrum Disorder

Phase-based detection of intentional state for asynchronous brain-computer interface

Spikes from compound action potentials in simulated microelectrode recordings

Quantifying EDA synchrony through joint sparse representation: A case-study of couples' interactions

Inferring causal connectivity in epileptogenic zone using directed information

EEG source reconstruction performance as a function of skull conductance contrast

A multi-modal approach using a non-parametric model to extract fetal ECG

Combining sparsity with rank-deficiency for energy efficient EEG sensing and transmission over Wireless Body Area Network

Local metric learning for EEG-based personal identification

EEG dimensionality reduction in automatic identification of synonymy

Sparse models for determining arterial dynamics

Optimal spatial filtering for auditory steady-state response detection using high-density EEG

Robust long term neural signal decoding by estimating unobserved features

Time-frequency image descriptors-based features for EEG epileptic seizure activities detection and classification

An optimal dimensionality sampling scheme on the sphere for antipodal signals in diffusion magnetic resonance imaging

Blind stain decomposition for histo-pathology images using circular nature of chroma components

Mixer-based subarray beamforming for sub-Nyquist sampling ultrasound architectures

Super-resolution ultrawideband ultrasound imaging using focused frequency time reversal music

Stabilization techniques for high resolution ultrasound imaging using beamspace Capon method

Under-sampled functional MRI using low-rank plus sparse matrix decomposition

Multiple instance learning for breast MRI based on generic spatio-temporal features

Fast magnetic susceptibility reconstruction using L0 norm of gradient

Enhanced noninvasive imaging system for dispersive highly coherent space

Unsupervised detrending technique using sparse dictionary learning for fMRI preprocessing and analysis

A parametric modeling approach for wireless capsule endoscopy hazy image restoration

Explicit order model for region-based level set segmentation

A multiple covariance approach for cell detection of Gram-stained smears images

C. elegans cell matching and tracking in a 4D imageing system

Automated tracking of cells from phase contrast images by multiple hypothesis Kalman filters

Deep convolutional activation features for large scale Brain Tumor histopathology image classification and segmentation

Cost-sensitive ensemble classifiers for microwave breast cancer detection

Novel image classification based on integration of EEG and visual features via MSLPCCA

Scalable clustering based on enhanced-SMART for large-scale FMRI datasets

Noise cleaning and Gaussian modeling of smart phone photoplethysmogram to improve blood pressure estimation

A novel QRS complex detection on ECG with motion artifact during exercise

Adaptive neural matching online spike sorting VLSI chip design for wireless BCI implants

Vital signs from inside a helmet: A multichannel face-lead study

Detection of depression in adolescents based on statistical modeling of emotional influences in parent-adolescent conversations

Classifying phonological categories in imagined and articulated speech

Robust electroencephalogram channel set for person authentication

Fast convex optimization for connectivity enforcement in gene regulatory network inference

Spectral properties of neuronal pulse interval modulation

General linear models under Rician noise for fMRI data

Binomial classification based on DLENE features in sparse representation: Application in kidney detection in 3D ultrasound

<30 mW rectangular-to-polar conversion processor in 802.11ad polar transmitter

Lattice FIR digital filter architectures using stochastic computing

Reducing quantization error in low-energy FIR filter accelerators

An energy-efficient memory-based high-throughput VLSI architecture for convolutional networks

Low-latency list decoding of polar codes with double thresholding

Single stream parallelization of generalized LSTM-like RNNs on a GPU

An adaptive ECC scheme for dynamic protection of NAND Flash memories

An obfuscated radix-2 real FFT architecture

Factorization for analog-to-digital matrix multiplication

Serial and interleaved architectures for computing real FFT

Multiple constant multiplication implementations in near-threshold computing systems

A hybrid partial sum computation unit architecture for list decoders of polar codes

Implementation of the SVD-based precoding sub-system for the compressed beamforming weights feedback in IEEE 802.11n/ac WLAN

Parallel software implementation of recursive multidimensional digital filters for point-target detection in cluttered infrared scenes

Local binary pattern orientation based face recognition

ASIC implementation of a computationally efficient compressive sensing detection method using least squares optimization in 45 nm CMOS technology

Implementation of interconnective systems

An efficient interpolation filter VLSI architecture for HEVC

Buffer merging technique for minimizing memory footprints of Synchronous Dataflow specifications

Pedestrian localization in moving platforms using dead reckoning, particle filtering and map matching

Double-talk detection in acoustic echo cancellers using zero-crossings rate

Distributed dense stereo matching for 3D reconstruction using parallel-based processing advantages

Fixed point optimization of deep convolutional neural networks for object recognition

Transmitting informative components of fisher codes for mobile visual search

Interactive on-device Mobile Landmark Recognition with compact binary codes

Horizontal flip-invariant sketch recognition via local patch hashing

Multi-view implicit transfer for person re-identification

Semi supervised deep kernel design for image annotation

Weight estimation in hypergraph learning

Coded aperture compressive 3-D LIDAR

Joint directional-positional multiplexing for light field acquisition by Kronecker compressed sensing

Fast realistic refocusing for sparse light fields

Dense and continuous depth estimation using a sliding camera

Selective hole-filling for depth-image based rendering

Improved view synthesis by motion warping and temporal hole filling

Coupled fisher discrimination dictionary learning for single image super-resolution

Neighborhood regression for edge-preserving image super-resolution

Depth image super-resolution using internal and external information

Novel autoregressive model based on adaptive window-extension and patch-geodesic distance for image interpolation

Face hallucination via Cauchy regularized sparse representation

Fast image interpolation with decision tree

An Encryption-then-Compression system for JPEG 2000 standard

Lossless plenoptic image compression using adaptive block differential prediction

Region-based depth map coding using a 3D scene representation

Dense correspondence based prediction for image set compression

Image compression via dense descriptors assisted synthesis

Rate control for lossless region of interest coding in HEVC intra-coding with applications to digital pathology images

Noise reduced high dynamic range tone mapping using information content weights

Hyper-spectral impulse denoising: A row-sparse Blind Compressed Sensing formulation

Nonlocal means image denoising based on bidirectional principal component analysis

A hybrid edge-preserving image smoothing scheme for noise removal

Active matching for patch adaptivity in nonlocal means image denoising

Patch-disagreement as away to improve K-SVD denoising

Advantages of dynamic analysis in HOG-PCA feature space for video moving object classification

Location-aware object detection via coherent region grouping

On the detection of abandoned objects with a moving camera using robust subspace recovery and sparse representation

Unusual event detection in crowded scenes by trajectory analysis

Detecting rare events using Kullback-Leibler divergence

Dynamic ROI based on K-means for remote photoplethysmography

Coupled learning based on singular-values-unique and hog for face hallucination

Learning joint features for color and depth images with Convolutional Neural Networks for object classification

Kernel task-driven dictionary learning for hyperspectral image classification

Learning discriminative visual dictionary for natural scene categorization

A data-driven color feature learning scheme for image retrieval

Multi-task rank learning for image quality assessment

Dominant SIFT: A novel compact descriptor

Ordinal pyramid pooling for rotation invariant object recognition

Fast line and circle detection using inverted gradient hash maps

K-medians clustering based ℓ1-PCA model

Approximate infinite-dimensional Region Covariance Descriptors for image classification

Hybrid multi-layer deep CNN/aggregator feature for image classification

A fast hyperplane-based MVES algorithm for hyperspectral unmixing

Body-structure based feature representation for person re-identification

Pedestrian detection via PCA filters based convolutional channel features

Color description of low resolution images using fast bitwise quantization and border-interior classification

Noise reduction for screen content coding based on local histogram

Fast and efficient intra coding techniques for smooth regions in screen content coding based on boundary prediction samples

Efficient coding strategy for HEVC performance improvement by exploiting motion features

Multiple Early Termination for fast HEVC coding of UHD content

Error diffused intra prediction for HEVC

Reduced-rank condensed filter dictionaries for inter-picture prediction

Mode Dependent Vector Quantization with a rate-distortion optimized codebook for residue coding in video compression

Motion compensation with higher order motion models for HEVC

View synthesis optimization based on texture smoothness for 3D-HEVC

Transmission distortion modeling for view synthesis prediction based 3-D video streaming

The efficiency of view synthesis prediction for 3D video coding: A spectral domain analysis

Disparity-compensated total-variation minimization for compressed-sensed multiview image reconstruction

Salient object detection via background contrast

Face detection using Local Hybrid Patterns

Ocrapose: An indoor positioning system using smartphone/tablet cameras and OCR-aided stereo feature matching

Forward stereo obstacle detection with Weighted Hough Transform and local temporal correlation

Nonconvex relaxation for Poisson intensity reconstruction

Image matching for repetitive patterns

A model of bottom-up visual attention using cortical magnification

Efficient image categorization with sparse Fisher vector

Quantized fuzzy LBP for face recognition

Shape peeling for improved image Skeleton stability

Change detection for optical and radar images using a Bayesian nonparametric model coupled with a Markov random field

Extracting deep bottleneck features for visual speech recognition

Separating background and foreground optical flow fields by low-rank and sparse regularization

Color facial expression recognition based on color local features

Local All-Pass filters for optical flow estimation

An improved cross-correlation approach to parameter estimation based on fractional Fourier transform for ISAR motion compensation

Embedded real-time localization of UAV based on an hybrid device

Face recognition for great apes: Identification of primates in videos

Dual-exposure image registration for HDR processing

A workload balanced parallel view synthesis for FTV

A robust motion detection algorithm on noisy videos

Searching for semantic person queries using channel representations

Collaborative filtering based on group coordinates for smoothing and directional sharpening

Directional bilateral filters

Small target detection using an optimization-based filter

Switching dual kernels for separable edge-preserving filtering

Image colorization using hybrid domain transform

Quantile analysis of image sensor noise distribution

A new ADMM algorithm for the Euclidean Median and its application to robust patch regression

Single image haze removal via a simplified dark channel

Image interpolation using Gaussian Mixture Models with spatially constrained patch clustering

Multi-scale Bayesian reconstruction of compressive X-ray image

Single underwater image descattering and color correction

Missing intensity restoration via adaptive selection of perceptually optimized subspaces

Accurate analysis method of background ionosphere effects on Geosynchronous SAR focusing

A graph Laplacian regularization for hyperspectral data unmixing

High-resolution through-wall ghost imaging algorithm using chaotic modulated signal

Seismic feature extraction using steiner tree methods

Blind bleed-through removal for scanned historical document images with conditional random fields

Combining information display and visible light wireless communication

Image quality assessment based on structure variance classification

A multi-slice model observer for medical image quality assessment

A novel pooling strategy for Full Reference Image Quality Assessment based on harmonic means

Objects co-segmentation: Propagated from simpler images

Face-based Active Authentication on mobile devices

SNR maximization hashing for learning compact binary codes

Scale-robust compressive camera fingerprint matching with random projections

Anti-cropping blind resynchronization for 3D watermarking

Multivariate lattices for encrypted image processing

Network infection source identification under the SIRI model

Spatio-temporal rich model for motion vector steganalysis

A ROI-based self-embedding method with high recovery capability

An effective key generation system using improved channel reciprocity

Robust joint beamforming and artificial noise design for amplify-and-forward multi-antenna relay systems

Jammer forensics: Localization in peer to peer networks based on Q-learning

Spectrum scanning when the intruder might have knowledge about the scanner's capabilities

Detection of pilot spoofing attack in multi-antenna systems via energy-ratio comparison

Cyber-physical systems: Dynamic sensor attacks and strong observability

Unsupervised detection of malware in persistent web traffic

Selective video encryption using chaotic system in the SHVC extension

A novel image secret sharing scheme with meaningful shares

How to construct progressive visual cryptography schemes

A compact representation of sensor fingerprint for camera identification and fingerprint matching

Copy-move detection of audio recording with pitch similarity

Cell phone verification from speech recordings using sparse representation

Efficient spectrogram-based binary image feature for audio copy detection

Privacy-preserving Query-by-Example Speech Search

Content-based recommendations with approximate integer division

On the importance of using high resolution images, third level features and sequence of images for fingerprint spoof detection

Posture-invariant ECG recognition with posture detection

Efficient FFT method for modelling performance of radars with scan-to-scan feedback integration

Combining two phase codes to extend the radar unambiguous range and get a trade-off in terms of performance for any clutter

GPU acceleration of Threat Map computation and application to selection of sonar field controls

Frequency hopping waveforms for continuous active sonar

A hybrid speaker array-headphone system for immersive 3D audio reproduction

A virtual bass system with improved overflow control

Large-scale speaker search using PLDA on mismatched conditions

A parametric Bayesian RMC gamma-ray image reconstruction

Real-time independent vector analysis with Student's t source prior for convolutive speech mixtures

From Simulink to smartphone: Signal processing application examples

Multichannel transient acoustic signal classification using task-driven dictionary with joint sparsity and beamforming

Speech dereverberation using a learned speech model

Source separation with scattering Non-Negative Matrix Factorization

An online em algorithm in hidden (semi-)Markov models for audio segmentation and clustering

Redundancy analysis of behavioral coding for couples therapy and improved estimation of behavior from noisy annotations

Variational Bayes learning of multiscale graphical models

Density estimation by entropy maximization with kernels

Kernel-based embeddings for large graphs with centrality constraints

A maximum correntropy criterion for robust multidimensional scaling

Risk-averse online learning under mean-variance measures

Malware classification with recurrent networks

Alignment with intra-class structure can improve classification

Enhancing class discrimination in Kernel Discriminant Analysis

A novel ranking method for multiple classifier systems

Semi-supervised multi-sensor classification via consensus-based Multi-View Maximum Entropy Discrimination

Linear support vector machines with normalizations

A unified probabilistic framework for robust decoding of linear barcodes

Logistic similarity metric learning for face verification

Robust audio surveillance using spectrogram image texture feature

Detecting kangaroos in the wild: the first step towards automated animal surveillance

Discriminative spectral learning of hidden markov models for human activity recognition

Tensor object classification via multilinear discriminant analysis network

Visual tracking using learned color features

Aligning training modelswith smartphone properties in WiFi fingerprinting based indoor localization

A mixture of experts approach towards intelligibility classification of pathological speech

Online computation of sparse representations of time varying stimuli using a biologically motivated neural network

A novel approach for automatic acoustic novelty detection using a denoising autoencoder with bidirectional LSTM neural networks

A stochastic behavior analysis of stochastic restricted-gradient descent algorithm in reproducing kernel hilbert spaces

Convergence analysis of the augmented complex klms algorithm with pre-tuned dictionary

CoCE-SMART: Consensus clustering based on enhanced splitting-merging awareness tactics

Total Jensen divergences: Definition, properties and clustering

Adaptive damping and mean removal for the generalized approximate message passing algorithm

Pattern classification formulated as a missing data task: The audio genre classification case

Subspace learning using consensus on the grassmannian manifold

Online time-dependent clustering using probabilistic topic models

A comparative study of spectral clustering for i-vector-based speaker clustering under noisy conditions

Analyses on empirical error minimization in multiple kernel regressors

Twice-universal piecewise linear regression via infinite depth context trees

Deep convolutional neural networks for acoustic modeling in low resource languages

A hybrid recurrent neural network for music transcription

Removing data with noisy responses in regression analysis

A new framework for solving dynamic scheduling games

Long short term memory neural network for keyboard gesture decoding

The shared dirichlet priors for bayesian language modeling

Optimization of plug-in electric vehicle charging with forecasted price

A language-based generative model framework for behavioral analysis of couples' therapy

The segregation of spatialised speech in interference by optimal mapping of diverse cues

Sequence-discriminative training of recurrent neural networks

A data-driven approach for matching clinical expertise to individual cases

A bio-inspired logical process for saliency detections in cognitive crowd monitoring

Lp-norm non-negative matrix factorization and its application to singing voice enhancement

Learning mixed divergences in coupled matrix and tensor factorization models

Nonnegative matrix factorization with gradient vertex pursuit

Deep multimodal learning for Audio-Visual Speech Recognition

Deep neural network based instrument extraction from music

Explicit versus implicit source estimation for blind multiple input single output system identification

Combining sparse NMF with deep neural network: A new classification-based approach for speech enhancement

Common components analysis via linked blind source separation

Multi-Modulus algorithms using hyperbolic and givens rotations for blind deconvolution of mimo systems

Fast DNN training based on auxiliary function technique

A comparison of extreme learning machines and back-propagation trained feed-forward networks processing the mnist database

Low rank tensor deconvolution

An iterative bayesian algorithm for block-sparse signal reconstruction

Sparsity aware minimum error entropy algorithms

On the complexity of information planning in Gaussian models

Active learning of self-concordant like multi-index functions

Metrics of grassmannian representation in reproducing kernel hilbert space for variational pattern analysis

A probabilistic least-mean-squares filter

Supervised sparse coding with local geometrical constraints

Modelling of complex signals using gaussian processes

Non-negative matrix factorisation incorporating greedy hellinger sparse coding applied to polyphonic music transcription

Reducing communication overhead in distributed learning by an order of magnitude (almost)

Objective quality prediction for haptic texture signal compression

Identify Visual Human Signature in community via wearable camera

Modeling mutual influence of multimodal behavior in affective dyadic interactions

Acoustic and para-verbal indicators of persuasiveness in social multimedia

Continuous visual speech recognition for audio speech enhancement

Deformable multiple-kernel based human tracking using a moving camera

Combined estimation of camera link models for human tracking across nonoverlapping cameras

Exploiting subclass information in one-class support vector machine for video summarization

Computationally deconstructing movie narratives: An informatics approach

Feedback-based handwriting recognition from inertial sensor data for wearable devices

Joint denoising and contrast enhancement of images using graph laplacian operator

Detecting semantic concepts in consumer videos using audio

Max-product dynamical systems and applications to audio-visual salient event detection in videos

Self-calibration in visual sensor networks equipped with RGB-D cameras

Optimal graph laplacian regularization for natural image denoising

Labelwalking nonnegative matrix factorization

Synchronization rules for HMM-based audio-visual laughter synthesis

Visual and acoustic identification of bird species

Multimodal addressee detection in multiparty dialogue systems

Predicting next speaker based on head movement in multi-party meetings

A fast audio search method based on skipping irrelevant signals by similarity upper-bound calculation

Moving sound source parameter estimation using a single microphone and signal extrema samples

Joint hot and cold clutter mitigation in the transmit beamspace-based MIMO radar

Compressed sensing joint range and cross-range MIMO Radar imaging

Aperiodicwaveforms with mismatched filtering for target detection in heavy clutter. part II - MIMO radar architecture

Space-delay adaptive processing for MIMO RF indoor motion mapping

Joint time reversal and compressive sensing based localization algorithms for multiple-input multiple-output radars

Closed-form solution to directly design face waveforms for beampatterns using planar array

Coprime arrays and samplers for space-time adaptive processing

Doa estimation by covariance matrix sparse reconstruction of coprime array

Multiple source localization with moving co-prime arrays

Gaussian signal detection by coprime sensor arrays

Bayesian compressive sensing for DOA estimation using the difference coarray

Correlation-aware sparsity-enforcing sensor placement for spatio-temporal field estimation

Sparse sensing for distributed gaussian detection

Doa estimation of nonparametric spreading spatial spectrum based on bayesian compressive sensing exploiting intra-task dependency

Direction-finding based on the theory of super-resolution in sparse recovery algorithms

Multi-sensor classification via sparsity-based representation with low-rank interference

Super-resolution acoustic imaging using sparse recovery with spatial priming

Multi-view indoor scene reconstruction from compressed through-wall radar measurements using a joint bayesian sparse representation

Indoor mapping based on time delay estimation in wireless networks

Precoder and equalizer design for multi-user MIMO FBMC/OQAM with highly frequency selective channels

Quasi-rectilinear (MSK, GMSK, OQAM) co-channel interference mitigation by three inputs widely linear fresh filtering

Joint design of multi-tap filters and power control for FBMC/OQAM based two-way decode-and-forward relaying systems in highly frequency selective channels

Spectrum sharing between matrix completion based MIMO radars and a MIMO communication system

A tensor-based subspace wall clutter mitigation method for through-the-wall radar imaging

Hybrid vectorial and tensorial Compressive Sensing for hyperspectral imaging

Parallel algorithms for large scale constrained tensor decomposition

Robust linear spectral unmixing using outlier detection

A new Bayesian unmixing algorithm for hyperspectral images mitigating endmember variability

Wave atom based Compressive Sensing and adaptive beamforming in ultrasound imaging

Generalised array reconfiguration for adaptive beamforming by antenna selection

Unit circle MVDR beamformer

Multicast beamforming with antenna selection using exact penalty approach

A robust region-based near-field beamformer

SINR loss of the dominant mode rejection beamformer

Robust transmit beampattern design for uniform linear arrays using correlated LFM waveforms

Robust widely linear beamformer based on a projection constraint

Robust minimum variance beamforming under distributional uncertainty

Optimal beamforming on synthetic interference and noise for active processing of multiplet line arrays

Optimum discrete distributed beamforming for single group multicasting relay networks with relay selection

Deconvolution using the adaptive selective sidelobe canceller beamformer

Adaptive Bayesian tracking with unknown time-varying sensor network performance

Multiple target track-before-detect in compound Gaussian clutter

Optimal sensor deployment for 3D AOA target localization

Reference-distance estimation approach for TDOA-based source and sensor localization

Assessing range accuracy for bearings-only geolocation using optimal logarithmic spiral sensor path trajectories

Polynomial-phase signal direction-finding and source-tracking with a single acoustic vector sensor

A state-space approach for the analysis of wave and diffusion fields

Gesture recognition from magnetic field measurements using a bank of linear state space models and local likelihood filtering

Distributions of projections of uniformly distributed K-frames

Robust microphone placement for source localization from noisy distance measurements

Periodic RF transmitter geolocation using a mobile receiver

Large region acoustic source mapping using movable arrays

Asymptotic properties of the robust ANMF

Asymptotic performance of the Low Rank Adaptive Normalized Matched Filter in a large dimensional regime

Automatic target recognition using discrimination based on optimal transport

Narrow-range frequency estimation based on comprehensive optimization of DFT and interpolation

Impact location estimation in anisotropic media

LOST-find: A spectral-space-time direct blind geolocalization algorithm

Variational inference cooperative network localization with narrowband radios

Acoustic event source localization for surveillance in reverberant environments supported by an event onset detection

Nonlinear regression using smooth Bayesian estimation

EEG signal enhancement using multi-channel wiener filter with a spatial correlation prior

Joint direction-of-arrival and frequency estimation without source enumeration

Weak interference direction of arrival estimation in the GPS L1 frequency band

Binaural localization of speech sources in 3-D using a composite feature vector of the HRTF

Pseudo-coherence-based MVDR beamformer for speech enhancement with ad hoc microphone arrays

Pitch and TDOA-based localization of acoustic sources with distributed arrays

Novel GCC-PHAT model in diffuse sound field for microphone array pairwise distance based calibration

Design and analysis of miniature and three tiered B-format microphones manufactured using 3D printing

Robust localisation of multiple speakers exploiting head movements and multi-conditional training of binaural cues

On the distributed acoustic sensing based on local time-frequency coherence analysis

Adaptive differential microphone arrays used as a front-end for an automatic speech recognition system

On application of non-negative matrix factorization for ad hoc microphone array calibration from incomplete noisy distances

A machine-hearing system exploiting head movements for binaural sound localisation in reverberant conditions

Coherent channel based subband multichannel dereverberation

Real-time multiple DOA estimation of speech sources in wireless acoustic sensor networks

Distributed beamforming for cooperative networks with widely-linear processing at the relays and the receiver

Adaptive multicast beamforming: Guaranteed convergence and state-of-art performance at low complexity

Optimum phase-only discrete broadcast beamforming with antenna and user selection in interference limited cognitive radio networks

Multichannel speech enhancement using MEMS microphones

A low-frequency superdirective acoustic vector sensor array

Mismatched filter design for radar waveforms by semidefinite relaxation

Fusion of polarimetric radar images using hybrid matching pursuit

Multipath exploitation in sparse scene recovery using sensing-through-wall distributed radar sensor configurations

Random matrix theory inspired passive bistatic radar detection with noisy reference signal

Ground moving target imaging by synthetic aperture radar based on an unified framework of keystone transformation

Optimal geometry analysis for elliptic target localization by multistatic radar with independent bistatic channels

Aperiodic waveforms with mismatched filtering for target detection in heavy clutter. Part I - SIMO radar architecture

On transmit beamforming in MIMO radar with matrix completion

3D SAR beamforming under a foliage canopy from a single pass

Augmented covariance estimation with a cyclic approach in DOA

A simple method for DOA estimation in the presence of unknown nonuniform noise

Low-complexity robust DOA estimation

Improved direction finding using a maneuverable array of directional sensors

Performance analysis of music in the presence of modeling errors due to the spatial distributions of sources

Esprit-type algorithms for a received mixture of circular and strictly non-circular signals

A learning-based approach to direction of arrival estimation in noisy and reverberant environments

Unscented Transformation based array interpolation

Performance analysis of spatial smoothing schemes in the context of large arrays

A statistical comparison between music and G-music

Anchor nodes refinement in joint localization and synchronization of a sensor node

Low-rank approximation-based distributed node-specific signal estimation in a fully-connected wireless sensor network

Cooperative self-localization in asynchronous sensors networks based on TOA from transmitters at unknown locations

Large-scale sensor network localization via rigid subnetwork registration

Cooperative localization with information-seeking control

On the broadband effect of remote stations in DPD algorithm

Optimum node selection for protection under power grid state estimation

Voltage sags estimation in three-phase systems using Unconditional Maximum Likelihood estimation

Nonlinear, reduced order, distributed state estimation in microgrids

A unified approach for hybrid source localization based on ranges and video

Bi-directional differential beamforming for multi-antenna relaying

Optimal base station densities for cost-efficient multi-tier heterogeneous cellular networks

Semi-asynchronous routing for large scale hierarchical networks

Base Station clustering in heterogeneous network with finite backhaul capacity

Interference statistics in a random mmWave ad hoc network

Compressed sensing based multi-user millimeter wave systems: How many measurements are needed?

An attack on antenna subset modulation for millimeter wave communication

Blind estimation of effective downlink channel gains in massive MIMO

Efficient collaborative sparse channel estimation in massive MIMO

Hybrid digital and analog beamforming design for large-scale MIMO systems

Joint group power allocation and prebeamforming for joint spatial-division multiplexing in multiuser massive MIMO systems

A low complexity iterative soft-decision feedback MMSE-PIC detection algorithm for massive MIMO

Network formation games based on conditional independence graphs

Distributed tls estimation under random data faults

Minimum information dominating set for critical sampling over graphs

An approximate Newton method for distributed optimization

A proximal gradient algorithm for decentralized nondifferentiable optimization

Regret bounds of a distributed saddle point algorithm

Noncoherent sequence detection of orthogonally modulated signals in flat fading with log-linear complexity

Bayesian narrowband interference mitigation in SC-FDMA

Comparative performance evaluation of error regularized Turbo-MIMO MMSE-SIC detectors in Gaussian channels

Blind equalization and Automatic Modulation Classification based on pdf fitting

Enhancing LDPC code performance using pilot bits

Low-complexity compressive sensing detection for multi-user spatial modulation systems

Accelerating and deceleratingmin-sum-based gear-shift LDPC decoders

Single carrier with multi-channel time-frequency domain equalization for underwater acoustic communications

Modulation classification in MIMO fading channels via expectation maximization with non-data-aided initialization

Low-complexity minimum-SER channel equalization for OFDM underwater acoustic communications

Sparse symbol detection by a greedy tree search

A decomposition method for optimal user assignment in cellular networks with orthogonal transmissions

Optimization methods for sequence design with low autocorrelation sidelobes

Sum rate maximization model of non-regenerative multi-stream multi-pair multi-relay network

Topological interference management for two cell interference broadcast channels with alternating connectivity

Achievable degrees-of-freedom of (n, K)-user interference channel with distributed beamforming

Random sequential scheduling for wireless D2D communications

Fairness considerations in full-duplex MIMO interference channels

On optimal routing and power allocation for D2D communications

An iterative reweighted minimization framework for joint channel and power allocation in the OFDMA system

Fractional spatial reuse precoding for MIMO downlink networks

A low complexity optimization algorithm for zero-forcing precoding under per-antenna power constraints

Robust precoding design for multibeam downlink satellite channel with phase uncertainty

A beamformed alamouti amplify-and-forward scheme in multigroup multicast cloud-relay networks

Maximum expected achievable rate combining for limited feedback block-diagonalization

Energy-efficient precoding matrix design for relay-aided multiuser downlink networks

Delay control for CDF scheduling with deadlines

Low-complexity robust MISO downlink precoder optimization for the limited feedback case

Robust beamformer and artificial noises for MISO wiretap channels with multiple eavesdroppers

Time-reversal space-time codes in asynchronous two-way double-antenna relay networks

Approach to frame-misalignment in physical-layer network coding

Multiuser cooperative transmission through superposition modulation based on braid coding

Optimal design and power allocation for multicarrier decode and forward relays

Diversity combining in wireless relay networks with partial channel state information

Secrecy rate analysis for jamming assisted relay communications systems

Double differential transmission for two-way relay systems with unknown carrier frequency offsets

Accurate kernel-based spectrum sensing for Gaussian and non-Gaussian noise models

Wavelet-based compressed spectrum sensing for cognitive radio wireless networks

Parametric frugal sensing of Moving Average power spectra

Rational consumer behavior models in smart pricing

Privacy constrained energy management for self-interested microgrids

A stackelberg game-based energy trading scheme for power beacon-assisted wireless-powered communication

Multiuser charging control in wireless power transfer via magnetic resonant coupling

Wireless information and power transfer in MIMO channels under Rician fading

GNSS spoofing detection using multiple mobile COTS receivers

Distributed AOA-based source positioning in NLOS with sensor networks

Averaging based distributed estimation algorithm for sensor networks with quantized and directed communication

Diffusion filtration with approximate Bayesian computation

Optimum decision fusion in cognitive wireless sensor networks with unknown users location

Mobile adaptive networks for pursuing multiple targets

Multi-scale multi-lag channel estimation via linearization of training signal spectrum and sparse approximation

Subspace-based phase noise estimation in OFDM receivers

Impulsive noise detection in PLC with smoothed L0-norm

On the spectral growth of the polar representation of communication signals

Generalized direct predistortion with adaptive crest factor reduction control

On the von mises approximation for the distribution of the phase angle between two independent complex Gaussian vectors

Spectrum cartography using quantized observations

A probabilistic interpretation of sampling theory of graph signals

Consensus for the distributed estimation of point diffusion sources in sensor networks

Fast compressive phase retrieval from Fourier measurements

Universal lower bounds on sampling rates for covariance estimation

Recovering signals from the Short-Time Fourier Transform magnitude

Collaborative compressive X-ray image reconstruction

Chasing butterflies: In search of efficient dictionaries

An online algorithm for distributed dictionary learning

Subspace projection matrix completion on Grassmann manifold

Outlier identification via randomized adaptive compressive sampling

Reduced-rank modeling of time-varying spectral patterns for supervised source separation

Sparse and low rank decomposition using l0 penalty

Weighted one-norm minimization with inaccurate support estimates: Sharp analysis via the null-space property

The proportional mean decomposition: A bridge between the Gaussian and bernoulli ensembles

Compressive parameter estimation via approximate message passing

Dynamic sparse state estimation using ℓ1-ℓ1 minimization: Adaptive-rate measurement bounds, algorithms and applications

Learning interpretable classification rules using sequential rowsampling

A numerical implementation of gridless compressed sensing

A tensor LMS algorithm

Proximal diffusion for stochastic costs with non-differentiable regularizers

The widely linear quaternion recursive total least squares

Online learning based on iterative projections in sum space of linear and Gaussian reproducing kernel Hilbert spaces

An efficient kernel normalized least mean square algorithm with compactly supported kernel

Identification of the parametric array loudspeaker with a volterra filter using the sparse NLMS algorithm

Exact asymptotics of distributed detection over adaptive networks

Bayesian social learning in linear networks of agents with random behavior

Stability and continuity of centrality measures in weighted graphs

Sampling theory for graph signals

Multi-graph learning of spectral graph dictionaries

Phase transitions in spectral community detection of large noisy networks

Robust binary hypothesis testing under contaminated likelihoods

Second order statistics of bilinear forms of robust scatter estimators

Large dimensional analysis of Maronna's M-estimator with outliers

A new robust and efficient estimator for ill-conditioned linear inverse problems with outliers

Improved linear least squares estimation using bounded data uncertainty

Robust and computationally efficient diffusion-based classification in distributed networks

Joint covariance estimation with mutual linear structure

Detection and recognition of deformable objects using structured dimensionality reduction

Subspace leakage analysis of sample data covariance matrix

Determining the number of correlated signals between two data sets using PCA-CCA when sample support is extremely small

An algorithm for the parameter estimation of multiple superimposed exponentials in noise

Measure-transformed quasi maximum likelihood estimation with application to source localization

Precise error analysis of the LASSO

A constrained hybrid Cramér-Rao bound for parameter estimation

Cramér-Rao-type bound for state estimation in linear discrete-time system with unknown system parameters

Performance estimation for tensor CP decomposition with structured factors

Marginal Weiss-Weinstein bounds for discrete-time filtering

Closed-form Cramer-Rao lower bounds for DOA estimation from turbo-coded square-QAM-modulated transmissions

Distributed primal strategies outperform primal-dual strategies over adaptive networks

Statistical-mechanical analysis of the FXLMS algorithm with actual primary path

Fast implementation of a family of memory proportionate affine projection algorithm

Analysis of H-sssi processes using the crossing tree: An alternative to wavelets

Multitask diffusion LMS with sparsity-based regularization

Monotone optimal policies in portfolio liquidation problems

Adaptive sensing resource allocation over multiple hypothesis tests

Mean square analysis of the CLMS and ACLMS for non-circular signals: The approximate uncorrelating transform approach

Efficient construction of dictionaries for kernel adaptive filtering in a dynamic environment

A randomized dual consensus ADMM method for multi-agent distributed optimization

A consensus-based decentralized algorithm for non-convex optimization with application to dictionary learning

MIST: L0 sparse linear regression with momentum

Probability density function estimation by positive quartic $C^{2}-spline$ functions

A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising

Convergence of an inertial proximal method for l1-regularized least-squares

Bi-alternating direction method of multipliers over graphs

Phase transition of joint-sparse recovery from multiple measurements via convex optimization

Localization of a moving non-cooperative RF target in NLOS environment using RSS and AOA measurements

Averaging random projection: A fast online solution for large-scale constrained stochastic optimization

Distributed black-box optimization of nonconvex functions

Local and global optimality of LP minimization for sparse recovery

Regularized canonical correlations for sensor data clustering

Consistency of ℓ1-regularized maximum-likelihood for compressive Poisson regression

Multichannel Wiener filtering via multichannel decorrelation

Adaptive signal and system approximation and strong divergence

Sparse partial derivatives and reconstruction from partial Fourier data

Lowpass/bandpass signal reconstruction and digital filtering from nonuniform samples

On the design of the measurement matrix for Compressed Sensing based DOA estimation

Sampling smooth spatio-temporal physical fields: When will the aliasing error increase with time?

Deterministic constructions of binary measurement matrices with various sizes

Achieving high resolution for super-resolution via reweighted atomic norm minimization

Average recovery performances of non-perfectly informed compressed sensing: With applications to multiclass encryption

Spherical harmonic transform for minimum dimensionality regular grid sampling on the sphere

Phase recovery from a Bayesian point of view: The variational approach

Multidimensional Ramanujan-sum expansions on nonseparable lattices

Demixing multivariate-operator self-similar processes

Maximum entropy property of discrete-time stable spline kernel

Distributed topology identification for point process dynamic networks

Estimation of rapidly varying sea clutter using nearest Kronecker product approximation

Nonuniformly sampled trivariate empirical mode decomposition

Sparse and cross-term free time-frequency distribution based on Hermite functions

Efficient filtering and sampling for a class of time-varying linear systems

Model-based parameters estimation of non-stationary signals using time warping and a measure of spectral concentration

A new alpha and gamma based mixture approximation for heavy-tailed Rayleigh distribution

Security information factor based low probability of identification in distributed multiple-radar system

Inverse Reinforcement Learning using Expectation Maximization in mixture models

Planted clique detection below the noise floor using low-rank sparse PCA

Distributed algorithm for graph signal inpainting

Laplacian matrix learning for smooth graph signal representation

Quantized matrix completion for low rank matrices

Transient interference suppression via structured low-rank matrix decomposition

Weighted covariance matching based square root LASSO

Generalized approximate message passing for cosparse analysis compressive sensing

Sparse signal recovery in the presence of colored noise and rank-deficient noise covariance matrix: An SBL approach

Modified distributed iterative hard thresholding

Analysis of target detection via matrix completion

Algorithms and performance analysis for estimation of low-rank matrices with Kronecker structured singular vectors

Sparse null space basis pursuit and analysis dictionary learning for high-dimensional data analysis

Support knowledge-aided sparse Bayesian learning for compressed sensing

A correctness result for online robust PCA

Rapid: Rapidly accelerated proximal gradient algorithms for convex minimization

On the fly estimation of the sparsity degree in Compressed Sensing using sparse sensing matrices

Downsampling for sparse subspace clustering

Hierarchical Sparse and Collaborative Low-Rank representation for emotion recognition

Greedy minimization of l1-norm with high empirical success

Model-distributed solution of regularized least-squares problem over sensor networks

Unveiling the tree: A convex framework for sparse problems

Structured Bayesian compressive sensing exploiting spatial location dependence

Convergence analysis of alternating direction method of multipliers for a family of nonconvex problems

Fast and robust EM-based IRLS algorithm for sparse signal recovery from noisy measurements

Audio synchronisation with a tunnel matrix for time series and dynamic programming

Ramanujan filter banks for estimation and tracking of periodicities

Design of signal-matched critically sampled FIR rational filterbank

Coprime DFT filter bank design: Theoretical bounds and guarantees

Optimal error feedback filters for uniform quantizers at remote sensors

A virtual resampling technique for algebraic two-dimensional phase unwrapping

A sequential dictionary learning algorithm with enforced sparsity

A two channel approach for system approximation with general measurement functionals

A Bayesian approach for the joint estimation of the multifractality parameter and integral scale based on the Whittle approximation

Detecting hidden cliques from noisy observations

Robust statistical process control in Block-RDT framework

Quickest detection of short-term voltage instability with PMU measurements

Distributed robust change point detection for autoregressive processes with an application to distributed voice activity detection

A Bernoulli filter approach to detection and estimation of hidden Markov models using cluttered observation sequences

An adaptive low-complexity detection method for statistical signal transmission under time-varying channels

Transmit code design for extended target detection in the presence of clutter

Wideband waveform design for robust target detection

Persistent topology of decision boundaries

Efficient and accurate multivariate class conditional densities using copula

Sequential energy detection for touch input detection

How to monitor and mitigate stair-casing in L1 trend filtering

A CFAR algorithm based on summations processing

A quaternion frequency estimator for three-phase power systems

An iterative deflation algorithm for exact CP tensor decomposition

Variational EM for clustering interaural phase cues in MESSL for blind source separation of speech

Investigating bias in non-parametric mutual information estimation

Parameter estimation for multiple scattering process on the sphere

Ranging without time stamps exchanging

On the Cramér-Rao lower bound under model mismatch

Multi-parameter estimation for cognitive radar in compound Gaussian clutter

Location robust estimation of predictive Weibull parameters in short-term wind speed forecasting

Ocean acoustic waveguide invariant parameter estimation using tonal noise sources

A proof of Hirschman Uncertainty invariance to the order of Rényi entropy for Picket Fence signals, and its relevance in a simplistic recognition experiment

Distributed spatio-temporal multi-target association and tracking

Plane sweep method for optimal line fitting in track-before-detect

A hybrid GMM/SMC diffusion Bernoulli Filter for joint distributed detection and tracking

On optimal mobile RSSI-sensor positioning for multi target tracking

Sensor selection with correlated measurements for target tracking in wireless sensor networks

Distributed target tracking under communication constraints

Distributed Kalman Filtering with quantized sensing state

Dictionary-based online kernel principal subspace analysis with double orthogonality preservation

Constrained state estimation in particle filters

General solution and approximate implementation of the multisensor multitarget CPHD filter

Histogram-PMHT with an evolving Poisson prior

A robust online subspace estimation and tracking algorithm

Smelly parallel MCMC chains

A gradient adaptive population importance sampler

Potts model parameter estimation in Bayesian segmentation of piecewise constant images

Gradient scan Gibbs sampler: An efficient high-dimensional sampler application in inverse problems

Bayesian path estimation using the spatial attributes of a road network

Cognitive biases in Bayesian updating and optimal information sequencing

Efficient linear combination of partial Monte Carlo estimators

Particle filtering of ARMA processes of unknown order and parameters

Multiple particle filtering with improved efficiency and performance

Particle Gibbs with refreshed backward simulation

Efficient update of persistent particles in the SMC-PHD filter

Bayesian parameter estimation of Jump-Langevin systems for trend following in finance

Critically sampled graph wavelets converted from linear-phase biorthogonal wavelets

Metrics in the space of high order proximity networks

Phase recovery for time of arrival estimation in the presence of interference

Blind signal separation of rational functions using Löwner-based tensorization

On finding a subset of non-defective items from a large population using group tests: Recovery algorithms and bounds

Super-resolution in Phase Space

Maximal multiplicative spatial-spectral concentration on the sphere: Optimal basis

Efficient model choice and parameter estimation by using nested sampling applied in Eddy-Current Testing

Time-varying vector Poisson processes with coincidences

Tikhonov-Galerkin stochastic system identification in SO(3)

Normalization of total variability matrix for i-vector/PLDA speaker verification

Source-specific informative prior for i-vector extraction

Additive noise compensation in the i-vector space for speaker recognition

A new study of GMM-SVM system for text-dependent speaker recognition

Improved language identification using deep bottleneck network

Nearest neighbor discriminant analysis for language recognition

Parameter generation algorithm considering Modulation Spectrum for HMM-based speech synthesis

Directly modeling speech waveforms by neural networks for statistical parametric speech synthesis

Attributing modelling errors in HMM synthesis by stepping gradually from natural to modelled speech

Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks

Vocaine the vocoder and applications in speech synthesis

Sparse representation for frequency warping based voice conversion

Influence of time-varying pitch on timbre: “Coherence and incoherence” based on spectral centroid

Evaluation of speech inverse filtering techniques using a physiologically based synthesizer

Joint optimization of anatomical and gestural parameters in a physical vocal tract model

Analysis and automatic recognition of Human BeatBox sounds: A comparative study

Analysis of singing voice for epoch extraction using Zero Frequency Filtering method

Estimation of the invariant and variant characteristics in speech articulation and its application to speaker identification

A Gaussian Mixture Model layer jointly optimized with discriminative features within a Deep Neural Network architecture

Deep neural support vector machines for speech recognition

Learning acoustic frame labeling for speech recognition with recurrent neural networks

Integrating Gaussian mixtures into deep neural networks: Softmax layer with hidden variables

Regularization of context-dependent deep neural networks with context-independent multi-task training

Convolutional Neural Networks-based continuous speech recognition using raw speech signal

An investigation into speaker informed DNN front-end for LVCSR

Differentiable pooling for unsupervised speaker adaptation

Investigating online low-footprint speaker adaptation using generalized linear regression and click-through data

Multi-basis adaptive neural network for rapid adaptation in speech recognition

Maximum likelihood nonlinear transformations based on deep neural networks

Cluster adaptive training for deep neural network

Pitch estimation and tracking with harmonic emphasis on the acoustic spectrum

Speech-codebook based soft Voice Activity Detection

Automatic detection of voice onset time in dysarthric speech

One-formant vocal tract modeling for glottal pulse shape estimation

Weighted training for speech under Lombard Effect for speaker recognition

Vocal responses to frequency modulated composite sinewaves via auditory and vibrotactile pathways

Far-field speech recognition using CNN-DNN-HMM with convolution in time

Deep autoencoders augmented with phone-class feature for reverberant speech recognition

ASR error detection and recognition rate estimation using deep bidirectional recurrent neural networks

Joint training of front-end and back-end deep neural networks for robust speech recognition

Spatial diffuseness features for DNN-based speech recognition in noisy and reverberant environments

On using heterogeneous data for vehicle-based speech recognition: A DNN-based approach

A deep neural network for time-domain signal reconstruction

A deep neural network approach to speech bandwidth expansion

Speech reinforcement in noisy reverberant conditions under an approximation of the short-time SII

Noise PSD estimation by logarithmic baseline tracing

Joint acoustic and spectral modeling for speech dereverberation using non-negative representations

A priori SAP estimator based on the magnitude square coherence for dual-channel microphone system

Speaker change point detection using deep neural nets

Similarity induced group sparsity for non-negative matrix factorisation

Improved speaker recognition using DCT coefficients as features

KL-HMM based speaker diarization system for meetings

SAS: A speaker verification spoofing database containing diverse attacks

Employment of Subspace Gaussian Mixture Models in speaker recognition

A deep recurrent approach for acoustic-to-articulatory inversion

The effect of neural networks in statistical parametric speech synthesis

Deep neural networks employing Multi-Task Learning and stacked bottleneck features for speech synthesis

Modelling acoustic feature dependencies with artificial neural networks: Trajectory-RNADE

Unidirectional long short-term memory recurrent neural network with recurrent output layer for low-latency speech synthesis

Multi-speaker modeling and speaker adaptation for DNN-based TTS synthesis

A multi-channel corpus for distant-speech interaction in presence of known interferences

Exemplar-based speech enhancement for deep neural network based automatic speech recognition

Language-independent voice passphrase verification

Fast approximate i-vector estimation using PCA

Improvements to the IBM speech activity detection system for the DARPA RATS program

Voice activity detection using subband noncircularity

A novel static parameter calculation method for model compensation

Free energy for speech recognition

Constructing long short-term memory based deep recurrent neural networks for large vocabulary speech recognition

Combination of two-dimensional cochleogram and spectrogram features for deep learning-based ASR

On the importance of modeling and robustness for deep neural network feature

Context adaptive deep neural networks for fast acoustic model adaptation

Learning feature mapping using deep neural network bottleneck features for distant large vocabulary speech recognition

Data augmentation for deep convolutional neural network acoustic modeling

Evaluating Deep Scattering Spectra with deep neural networks on large scale spontaneous speech task

Unsupervised speaker adaptation of deep neural network based on the combination of speaker codes and singular value decomposition for speech recognition

Deep recurrent regularization neural network for speech recognition

Investigations on sequence training of neural networks

Building context-dependent DNN acoustic models using Kullback-Leibler divergence-based state tying

Modeling long temporal contexts in convolutional neural network-based phone recognition

Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks

Context dependent phone models for LSTM RNN acoustic modelling

Unsupervised learning of acoustic features via deep canonical correlation analysis

Multi-frame factorisation for long-span acoustic modelling

Improving long short-term memory networks using maxout units for large vocabulary speech recognition

Speaker adaptive training for deep neural networks embedding linear transformation networks

An investigation of augmenting speaker representations to improve speaker normalisation for DNN-based speech recognition

Investigation of mixture splitting concept for training linear bottlenecks of deep neural network acoustic models

Fix it where it fails: Pronunciation learning by mining error corrections from speech logs

Speech acoustic modeling from raw multichannel waveforms

Submodular data selection with acoustic and phonetic features for automatic speech recognition

A language space representation for speech recognition

An HMM-based formalism for automatic subword unit derivation and pronunciation generation

Joint estimation of vocal tract and nasal tract area functions from speech waveforms via auto-regression moving-average modeling and a pole assignment method

Switching to and combining offline-adapted cluster acoustic models based on unsupervised segment classification

Improving out-domain PLDA speaker verification using unsupervised inter-dataset variability compensation approach

A unified framework for filterbank and time-frequency basis vectors in ASR frontends

Robust excitation-based features for Automatic Speech Recognition

Memory-aware i-vector extraction by means of sub-space factorization

Entropy analysis of i-vector feature spaces in duration-sensitive speaker recognition

Speaker verification with the mixture of Gaussian factor analysis based representation

Nearest neighbor based i-vector normalization for robust speaker recognition under unseen channel conditions

JFA modeling with left-to-right structure and a new backend for text-dependent speaker recognition

Softsad: Integrated frame-based speech confidence for speaker recognition

Semi-supervised training in low-resource ASR and KWS

Automatic gain control and multi-style training for robust small-footprint keyword spotting with deep neural networks

Improving multiple-crowd-sourced transcriptions using a speech recogniser

Unsupervised data selection and word-morph mixed language model for tamil low-resource keyword search

Prof-Life-Log: Analysis and classification of activities in daily audio streams

Robust overlapped speech detection and its application in word-count estimation for Prof-Life-Log data

Improvements on transducing syllable lattice to word lattice for keyword search

The THUEE system for the openKWS14 keyword search evaluation

Voice quality: Not only about “you” but also about “your interlocutor”

Atom decomposition-based intonation modelling

Speech emotion recognition with acoustic and lexical features

A crosslinguistic study of prosodic focus

Emotion recognition using synthetic speech as neutral reference

Extraction of pitch register from expressive speech in Japanese

Cross-corpus depression prediction from speech

Effects of feature type, learning algorithm and speaking style for depression detection from speech

Weighted pairwise Gaussian likelihood regression for depression score prediction

A novel filtering based approach for epoch extraction

Reduced vowel space is a robust indicator of psychological distress: A cross-corpus analysis

Diarization resegmentation in the factor analysis subspace

Audiovisual speaker diarization of TV series

Restricted Boltzmann Machine supervectors for speaker recognition

PLDA-based diarization of telephone conversations

Advances in deep neural network approaches to speaker recognition

Forensic voice comparison with monophthongal formant trajectories - a likelihood ratio-based discrimination of “schwa” vowel acoustics in a close social group of young Australian females

Deep neural networks for cochannel speaker identification

A cluster-voting approach for speaker diarization and linking of Australian broadcast news recordings

Combining SGMM speaker vectors and KL-HMM approach for speaker diarization

Telephony text-prompted speaker verification using i-vector representation

Phonological vocoding using artificial neural networks

Spectral conversion using deep neural networks trained with multi-source speakers

Estimate articulatory MRI series from acoustic signal using deep architecture

Modulation spectrum-constrained trajectory training algorithm for GMM-based Voice Conversion

Adaptive statistical utterance phonetization for French

Voice conversion using deep Bidirectional Long Short-Term Memory based Recurrent Neural Networks

AA spectral space warping approach to cross-lingual voice transformation in HMM-based TTS

Word embedding for recurrent neural network based TTS synthesis

Photo-real talking head with deep bidirectional LSTM

Methods for applying dynamic sinusoidal models to statistical parametric speech synthesis

The role of glottal source parameters for high-quality transformation of perceptual age

Activity-mapping non-negative matrix factorization for exemplar-based voice conversion

A mouth full of words: Visually consistent acoustic redubbing

A multi-level representation of f0 using the continuous wavelet transform and the Discrete Cosine Transform

Coherent modification of pitch and energy for expressive prosody implantation

Intonational phrase break prediction for text-to-speech synthesis using dependency relations

Objective speech intelligibility assessment through comparison of phoneme class conditional probability sequences

Prosody generation using frame-based Gaussian process regression and classification for statistical parametric speech synthesis

HMM-based emphatic speech synthesis for corrective feedback in computer-aided pronunciation training

Speech-laughs: An HMM-based approach for amused speech synthesis

Evaluation of linear regression for speaker adaptation in HMM-based articulatory movements estimation

Improved time-frequency trajectory excitation modeling for a statistical parametric speech synthesis system

Neuron sparseness versus connection sparseness in deep neural network for large vocabulary speech recognition

WFST-based structural classification integrating dnn acoustic features and RNN language features for speech recognition

Regularizing DNN acoustic models with Gaussian stochastic neurons

Multi-task deep neural network acoustic models with model adaptation using discriminative speaker identity for whisper recognition

A nonmonotone learning rate strategy for SGD training of deep neural networks

Structure discovery of deep neural network based on evolutionary algorithms

Small-footprint high-performance deep neural network-based speech recognition using split-VQ

An analysis of convolutional neural networks for speech recognition

Multi-lingual speech recognition with low-rank multi-task deep neural networks

Estimating confidence scores on ASR results using recurrent neural networks

Speech recognition with prediction-adaptation-correction recurrent neural networks

Towards machines that know when they do not know: Summary of work done at 2014 Frederick Jelinek Memorial Workshop

Improving speech recognition in reverberation using a room-aware deep neural network and multi-task learning

Feature enhancement based on generative-discriminative hybrid approach with gmms and DNNS for noise robust speech recognition

Generative modeling of pseudo-target domain adaptation samples for whispered speech recognition

Robust speech processing using ARMA spectrogram models

Lasso-based reverberation suppression in automatic speech Recognition

Discriminative uncertainty estimation for noise robust ASR

A study on joint beamforming and spectral enhancement for robust speech recognition in reverberant environments

Improved strategies for a zero oov rate LVCSR system

Unsupervised adaptation of a denoising autoencoder by Bayesian Feature Enhancement for reverberant asr under mismatch conditions

Supervised domain adaptation for emotion recognition from speech

Harmonic phase estimation in single-channel speech enhancement using von mises distribution and prior SNR

Wind noise short term power spectrum estimation using pitch adaptive inverse binary masks

Sparse HMM-based speech enhancement method for stationary and non-stationary noise environments

SOBM - a binary mask for noisy speech that optimises an objective intelligibility metric

Cross-domain cooperative deep stacking network for speech separation

Single-channel speech enhancement in a transient noise environment by exploiting speech harmonicity

Leveraging automatic speech recognition in cochlear implants for improved speech intelligibility under reverberation

Delayless speech enhancement with a virtual zero-phase response using a prediction of periodic signal components

Improved face-to-face communication using noise reduction and speech intelligibility enhancement

On the potential for artificial bandwidth extension of bone and tissue conducted speech: a mutual information study

Deep neural networks for estimating speech model activations

Real-time robust formant tracking system using a phase equalization-based autoregressive exogenous model

Finding line spectral frequencies using the fast fourier transform

Arithmetic coding of speech and audio spectra using tcx based on linear predictive spectral envelopes

Analysis of speech and language communication for cochlear implant users in noisy lombard conditions

Noise robust estimation of the voice source using a deep neural network

A novel sinusoidal approach to audio signal frame loss concealment and its application in the new evs codec standard

Detecting laterality and nasality in speech with the use of a multi-channel recorder

Intelligibility evaluation of speech coding standards in severe background noise and packet loss conditions

Subjective quality evaluation of the 3GPP EVS codec

Automatic pronunciation verification for speech recognition

Exemplar-based large vocabulary speech recognition using k-nearest neighbors

Improved recognition of contact names in voice commands

Integrated pronunciation learning for automatic speech recognition using probabilistic lexical modeling

Annealed dropout trained maxout networks for improved LVCSR

Unicode-based graphemic systems for limited resource languages

Language independent query-by-example spoken term detection using N-best phone sequences and partial matching

A keyword-aware grammar framework for LVCSR-based spoken keyword search

Content-based recommender systems for spoken documents

Librispeech: An ASR corpus based on public domain audio books

I-vector based language modeling for query representation

Double-layer neighborhood graph based similarity search for fast query-by-example spoken term detection

Improving n-gram probability estimates by compound-head clustering

Quality estimation for asr k-best list rescoring in spoken language translation

Enhancing automatically discovered multi-level acoustic patterns considering context consistency with applications in spoken term detection

Query-by-example keyword spotting using long short-term memory networks

Localized error detection for targeted clarification in a virtual assistant

Long short-term memory language models with additive morphological features for automatic speech recognition

Channel adaptation of plda for text-independent speaker verification

Automatic broadcast news summarization via rank classifiers and crowdsourced annotation

Fusion of speaker and lexical information for topic segmentation: A co-segmentation approach

Word-semantic lattices for spoken language understanding

Contextual spoken language understanding using recurrent neural networks

A factorization network based method for multi-lingual domain classification

Full-rank linear-chain NeuroCRF for sequence labeling

Affective structure modeling of speech using probabilistic context free grammar for emotion recognition

OOV Proper Name retrieval using topic and lexical context models

Multimodal arousal rating using unsupervised fusion technique

Leveraging valence and activation information via multi-task learning for categorical emotion recognition

Large-scaleword representation features for improved spoken language understanding

Probabilistic features for connecting eye gaze to spoken language understanding

Annotating and categorizing competition in overlap speech

Online adaptative zero-shot learning spoken language understanding using word-embedding

Document-specific context plsa language model for speech recognition

Order-free spoken term detection

Combination of search techniques for improved spotting of OOV keywords

Enhancing sparse voice annotation for semantic retrieval of personal photos by continuous space word representations

Knowledge Graph Inference for spoken dialog systems

Automatic assessment of English learner pronunciation using discriminative classifiers

Neural network joint modeling via context-dependent projection

Tokenizing fundamental frequency variation for Mandarin tone error detection

Low-resource keyword search strategies for tamil

Distributed dialogue policies for multi-domain statistical dialogue management

An information-theoretic framework for automated discovery of prosodic cues to conversational structure

Investigation of ensemble models for sequence learning

Discriminative method for recurrent neural network language models

Scaling recurrent neural network language models

Recurrent neural network language model with structured word embeddings for speech recognition

Improving the training and evaluation efficiency of recurrent neural network language models

Paraphrastic recurrent neural network language models

Recurrent neural network language model training with noise contrastive estimation for speech recognition

Unnormalized exponential and neural network language models

Bidirectional recurrent neural network language models for automatic speech recognition

Token-level interpolation for class-based language models

Language model adaptation for academic lectures using character recognition result of presentation slides

Iterative randomized robust linear regression

Fast efficient and scalable Core Consistency Diagnostic for the parafac decomposition for big sparse tensors

Learning shared rankings from mixtures of noisy pairwise comparisons

Information extraction from large multi-layer social networks

Total generalized variation for graph signals

Asymptotic justification of bandlimited interpolation of graph signals for semi-supervised learning

Compressive graph clustering from random sketches

Covariance tracking from sketches of rapid data streams

Adaptive censoring for large-scale regressions

Estimating link-dependent Origin-Destination matrices from sample trajectories and traffic counts

Dynamic zero-point attracting projection for time-varying sparse signal recovery

Online local Gaussian process for tensor-variate regression: Application to fast reconstruction of limb movements from brain signal

Signal processing on graphs: Estimating the structure of a graph

Distributed kernel learning using Kernel Recursive Least Squares

Parallelizable PARAFAC decomposition of 3-way tensors

Real-time self-tracking in the Internet of Things

Adaptive Sensor Data Compression in IoT systems: Sensor data analytics based approach

A crosstalk-based linear filter in biochemical signal transduction pathways for the internet of bio-things

ML estimation of population size when observing multiple fill levels in slotted Aloha

Random projection and multiscale wavelet leader based anomaly detection and address identification in internet traffic

Time-switching based SWPIT for network-coded two-way relay transmission with data rate fairness

An outreach after-school program to introduce high-school students to electrical engineering

eTutor: Online learning for personalized education

Audio modeling and loudness estimation with IJDSP mobile simulations

Computing multistatic passive radar CFAR thresholds from surveillance-only data

Signal processing considerations for passive radar with a single receiver

Indoor target tracking using high doppler resolution passive Wi-Fi radar

GLRT detection with unknown noise power in passive multistatic radar

A signal processing scheme for a multichannel passive radar system

Detection Aided Multistatic Velocity Backprojection for passive radar

Destination inference using bridging distributions

Efficient detection and localization on graph structured data

Universal outlier hypothesis testing: Application to anomaly detection

Meta-level tracking for gestural intent recognition

Pattern based anomalous user detection in cognitive radio networks

Robot audition: Its rise and perspectives

Multi-channel speaker localization and separation using a model-based GSC and an inertial measurement unit

A three-stage framework to active source localization from a binaural head

Enhanced robot audition by dynamic acoustic sensing in moving humanoids

Audio source localization by optimal control of a mobile robot

Micbots: Collecting large realistic datasets for speech and audio research using mobile robots

An overviewof the SKA project: Why take on this signal processing challenge?

From antennas to multi-dimensional data cubes: The SKA data path

SKA correlators and beamformers

Collaborative randomized beamforming for phased array radio interferometers

Impact of station size on calibration of SKA-low

Computationally efficient radio astronomical image formation using constrained least squares and and the MVDR beamformer

An asymptotic LMPI test for cyclostationarity detection with application to cognitive radio

Higher-dimensional coherence of subspaces

Asymptotic analysis of linear spectral statistics of the sample coherence matrix

Model-order selection for analyzing correlation between two data sets using CCA with PCA preprocessing

Tyler's estimator performance analysis

Robust estimation of structured covariance matrix for heavy-tailed distributions

Overview of the EVS codec architecture

Standardization of the new 3GPP EVS codec

Packet-loss concealment technology advances in EVS

Improved error resilience for volte and VoIP with 3GPP EVS channel aware coding

Two-stage speech/music classifier with decision smoothing and sharpening in the EVS codec

Low delay LPC and MDCT-based audio coding in the EVS codec

Analysis of beamformer directed single-channel noise reduction system for hearing aid applications

Incorporating spatial information in binaural beamforming for noise suppression in hearing aids

Individualizing a monaural beamformer for cochlear implant users

Speaker change detection and speaker diarization using spatial information

Single channel speech enhancement in the modulation domain: New insights in the modulation channel selection framework

Assistive listening headsets for high noise environments: Protection and communication

Alternating diffusion for common manifold learning with application to sleep stage assessment

Particle filtering with observations in a manifold

Image masking schemes for local manifold learning methods

A performance study of the tangent distance method in transformation-invariant image classification

Metric-Constrained Kernel Union of Subspaces

Distributed robust labeling of audio sources in heterogeneous wireless sensor networks

Learning by weakly-connected adaptive agents

Coalitional game theoretic approach to distributed adaptive parameter estimation

Enhancing local - Transmitting less - Improving global

A cooperative jamming protocol for physical layer security in wireless networks

Distributed signal estimation in a wireless sensor network with partially-overlapping node-specific interests or source observability

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Unsupervised neural network based feature extraction using weak top-down constraints

Cross-lingual lexical language discovery from audio data using multiple translations

Segmental acoustic indexing for zero resource keyword search

QUESST2014: Evaluating Query-by-Example Speech Search in a zero-resource setting with real-life queries

Copingwith channel mismatch in Query-by-Example - But QUESST 2014

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A hearing model to estimate mandarin speech intelligibility for the hearing impaired patients

Perceptual effect of reverberation on multi-microphone noise reduction for cochlear implants

A physiological correlate of electroacoustic pitch matching in cochlear implant users with residual hearing

A temporal limits encoder for cochlear implants

A discriminative post-filter for speech enhancement in hearing aids

Temporal Tile Shaping for spectral gap filling in audio transform coding in EVS

Flexible spectrum coding in the 3GPP EVS codec

Low bit rate high-quality MDCT audio coding of the 3GPP EVS standard

Low-complexity and robust coding mode decision in the EVS coder

Frequency-domain Comfort Noise Generation for Discontinuous Transmission in EVS

Session negotiation and media adaptation of EVS in Voice over LTE

Linear prediction based comfort noise generation in the EVS codec

New post-processing techniques for low bit rate celp codecs

Advances in low bitrate time-frequency coding

Efficient handling of mode switching and speech transitions in the EVS codec

Enhanced time domain packet loss concealment in switched speech/audio codec

Super-wideband bandwidth extension for speech in the 3GPP EVS codec

Harmonic Vector Quantization

MDCT audio coding with pulse vector quantizers

Periodic non-uniform sampling for FRI signals

Exploiting FRI signal structure for sub-Nyquist sampling and processing in medical ultrasound

Feasibility of FRI-based square-wave reconstruction with quantization error and integrator noise

FRI sampling and reconstruction of asymmetric pulses

Sampling spherical finite rate of innovation signals

Sparsity pattern recovery using FRI methods

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3D numerical modeling of parametric speaker using finite-difference time-domain

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Random sequential scheduling for wireless D2D communications

Content Provider	IEEE Xplore Digital Library
Author	Shan Zhou Daji Qiao Lei Ying
Copyright Year	2015
Description	Author affiliation: Arizona State Univ., Tempe, AZ, USA (Lei Ying) \|\| LinkedIn Corp., Sunnyvale, CA, USA (Shan Zhou) \|\| Iowa State Univ., Ames, IA, USA (Daji Qiao)
Abstract	This paper proposes a pairwise SIR-based random sequential scheduling algorithm for wireless D2D communications. We derive an upper and a lower bound on the number of scheduled links by identifying the equivalence between the proposed algorithm and the Random Sequential Adsorption (RSA) process in physics. We then study the optimal SIR threshold, which is a key parameter in the proposed algorithm, for achieving the maximum sum rate. We finally extend the algorithm when a minimum SIR is required at each scheduled link. From the simulations, we observe that the proposed algorithm can achieve 24% higher sum rate compared with the aggregate SIR-based scheduling algorithm.
Starting Page	3053
Ending Page	3057
File Size	386570
Page Count	5
File Format	PDF
ISBN	9781467369978
DOI	10.1109/ICASSP.2015.7178532
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-19
Publisher Place	Australia
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Interference Ad hoc networks Receivers Wireless communication Scheduling algorithms Aggregates Adsorption
Content Type	Text
Resource Type	Article

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