NDLI: FINPAGE: Generating high performance feed-specific parser circuits

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2014 IEEE Global Conference on Signal and Information Processing (GlobalSIP)

2013 IEEE Global Conference on Signal and Information Processing

General chairs' welcome

Technical program overview

Organizing committee

Table of contents

Hierarchical Event Descriptor (HED) tags for analysis of event-related EEG studies

CTAGGER: Semi-structured community tagging for annotation and data-mining in event-rich contexts

EEG and the human perception of video quality: Impact of channel selection on discrimination

A compressive sampling approach for brain-machine interfaces based on transcranial Doppler sonography: A case study of resting-state maximal cerebral blood velocity signals

Content-based EEG database retrieval using a multiclass SVM classifier

Using feedback in long term trajectory decoding from Local Field Potentials

Towards an EEG search engine

The Temple University Hospital EEG corpus

A Deep Learning method for classification of images RSVP events with EEG data

Two-dimensional SVD for event detection in dynamic functional brain networks

Differential analysis of rna methylation sequencing data

MetaPar: Metagenomic sequence assembly via iterative reclassification

Integrated genotyping of structural variation

Cloud processing of 1000 genomes sequencing data using Amazon Web Service

Analyzing T cell repertoire diversity by high-throughput sequencing

Application of double asymptotics and random matrix theory in error estimation of regularized linear discriminant analysis

Security study of keyed DNA data embedding

Deterministic sequential Monte Carlo for haplotype inference

Optimal Bayesian feature selection

Exploring relationships between multivariate radiological phenotypes and genetic features: A case-study in Glioblastoma using the Cancer Genome Atlas

PREMIER Turbo: Probabilistic error-correction using Markov inference in errored reads using the turbo principle

A sparse multi-class classifier for biomarker screening

Particle filtering approach to state estimation in Boolean dynamical systems

Identifying deregulated TF/miRNA negative and double-negative feedback loops in prostate cancer

Identifying overlapping functional modules in biological networks by Markov random walk

On the modeling of heterogeneity in cancer tissue

Finding robust subnetwork markers that improve cross-dataset performance of cancer classification

Inference of tumor inhibition pathways from drug perturbation data

Robust identification of molecularly targeted drug effect coefficient using H∞ filter

Parallel computing for adaptive multi-cellular gene network modeling

Optimal control of gene regulatory networks with uncertain intervention effects

Identification and characterization of gene fusions in breast cancer - A non-trivial pursuit

A sparse Bayesian learning based approach to Inferring Gene Regulatory Networks

Localization of a single source with orientation-aware smart devices

Autonomous correction of sensor data applied to building technologies using filtering methods

Controlled sensing for sequential estimation

On optimal fusion architecture for a two-sensor tandem distributed detection system

Adaptive compressive sensing in the presence of noise and erasure

On optimal periodic sensor scheduling for field estimation in wireless sensor networks

CRB-optimal sensor placement for multiple passive acoustic arrays

Quickest change detection and identification across a sensor array

Exploration with massive sensor swarms

MC-MIMO radar: Recoverability and performance bounds

An incentive-based mechanism for location estimation in wireless sensor networks

Blind collaborative 20 questions for target localization

The price of anarchy in active signal landscape map building

Pattern-based compressed phone sensing

Capturing high fidelity images in PTZ camera networks

Regularization techniques for floor plan estimation in Radio Tomographic Imaging

The value of sleeping: A rollout algorithm for sensor scheduling in HMMs

Sensor selection and placement in adversarial environment

A performance guarantee for adaptive estimation of sparse signals

On the properties of nonlinear POMDPs for active state tracking

Control of sensing by navigation on information gradients

Dynamic search under false alarms

Social learning and controlled sensing

Information Acquisition and Utilization Problems

A framework for adaptive parameter estimation with finite memory

A combined symmetric difference and power monitoring GNSS anti-spoofing technique

Optimal index policies for quickest localization of anomaly in cyber networks

The Security Margin: A measure of source distinguishability under adversarial conditions

On trusting introductions from a reputable source: A utility-maximizing probabilistic approach

Meet the family of statistical disclosure attacks

Designing scalar quantizers with secrecy constraints

On unconditionally secure multiparty computation for realizing correlated equilibria in games

Stochastic gradient descent with differentially private updates

Audio tampering localization using modified iss watermarking in sparse-domain

Splicing image forgery detection based on DCT and Local Binary Pattern

The bidirectional polyomino partitioned PPUF as a hardware security primitive

Malicious data attacks against dynamic state estimation in the presence of random noise

Practical improvements to bus-based strategies for reliable anonymous networking

How to hide the elephant- or the donkey- in the room: Practical privacy against statistical inference for large data

Degrees of freedom of the single antenna gaussian wiretap channel with a helper irrespective of the number of antennas at the eavesdropper

Secret-key generation with arbitrarily varying eavesdropper's channel

Geometry of privacy and utility

Vulnerability of LTE to hostile interference

Distributed sparse regression by consensus-based primal-dual perturbation optimization

Estimation of exchangeable graph models by stochastic blockmodel approximation

Computing scalable multivariate glocal invariants of large (brain-) graphs

Estimating infection sources in a network with incomplete observations

ALARM: A logistic auto-regressive model for binary processes on networks

Indian Buffet Game with non-Bayesian social learning

MIGRAINE: MRI Graph Reliability Analysis and Inference for Connectomics

Inference of functional connectivity in Neurosciences via Hawkes processes

Sparse MIMO radar via structured matrix completion

Competitive privacy: Distributed computation with privacy guarantees

Distributed optimization of strongly convex functions on directed time-varying graphs

Contact graph based routing in opportunistic networks

How local can a node's view be and still guarantee sum-capacity in interference networks?

A path algorithm for localizing anomalous activity in graphs

Optimal resource allocation for energy harvesting two-way relay systems with channel uncertainty

Base station energy cooperation in green cellular networks

Transmission capacity of wireless ad hoc networks with energy harvesting nodes

Optimizing feedback in energy harvesting MISO communication channels

Optimal resource allocation in energy harvesting amplify-and-forward relay networks

Energy harvesting receivers: Optimal sampling and decoding policies

The energy harvesting two-way decode-and-forward relay channel with stochastic data arrivals

Competitive analysis of online throughput maximization schemes for multiple access channels with a shared renewable energy source

Optimal resource allocation for Type-II-HARQ-based OFDMA ad hoc networks

Network-level cooperation in energy harvesting wireless networks

More than meets the eye - A portable measurement unit for characterizing light energy availability

Optimal SINR based resource allocation for simultaneous energy and information transfer

Optimal collaborative sensing scheduling with energy harvesting nodes

Two-hop networks with energy harvesting: The (non-)impact of buffer size

Energy-spectral efficient transmission policy for energy harvesting nodes with rate requirement

Energy-efficient power control policies in fading channels with Markov arrivals and QoS constraints

Diffusion estimation over cooperative networks with missing data

A general framework for kernel similarity-based image denoising

Graph diffusion distance: A difference measure for weighted graphs based on the graph Laplacian exponential kernel

Wavelet-regularized graph semi-supervised learning

Adaptive graph filtering: Multiresolution classification on graphs

Lifting scheme on graphs with application to image representation

Multiscale gene sets from protein interaction networks

Transitivity based community analysis and detection

Near-optimal and computationally efficient detectors for weak and sparse graph-structured patterns

Divergence based graph estimation for manifold learning

Graph-based interpolation for DIBR-synthesized images with nonlocal means

Spatio-temporal analysis of Gaussian WSS processes via complex correlation and partial correlation screening

Nonlocal segmentation of point clouds with graphs

Multiscale community mining in networks using the graph wavelet transform of random vectors

Graphical evolutionary game theoretic framework for distributed adaptive filter networks

Inference in time series of graphs using locality statistics

Critically-sampled perfect-reconstruction spline-wavelet filterbanks for graph signals

Joint estimation of motion and arc breakpoints for scalable compression

Optimization of wireless networks via graph interpolation

Parametric dictionary learning for graph signals

Localized iterative methods for interpolation in graph structured data

Classification via regularization on graphs

Graphical models for context-aware analysis of continuous videos

Least laxity first scheduling of thermostatically controlled loads for regulation services

Clustering of smart meter data for disaggregation

Data recovery using side information from the wireless M-Bus protocol

Distributed state estimation with lossy measurement compression in smart grid

Solar radiation forecasting using zenith angle

On the role of power-grid and communication-system interdependencies on cascading failures

Electric load forecasting using parallel RBF neural network

Learning-based distributed load forecasting in energy grids

Partition based cascaded generator scheduling with constraints for large power networks

A study on group communication in distributed wide-area measurement system networks in large power systems

Social learning with decentralized choice of private signals

On the O(1=k) convergence of asynchronous distributed alternating Direction Method of Multipliers

On the probability distribution of distributed optimization strategies

Distributed mini-batch random projection algorithms for reduced communication overhead

Distributed augmented Lagrangian algorithms: Convergence rate

Diffusion based collaborative decision making in noncooperative social network games

Mean-centric equilibrium: An equilibrium concept for learning in large-scale games

Online learning for network optimization under unknown models

Networked optimization with adaptive communication

Mean field message passing for cooperative simultaneous ranging and synchronization

Node removal vulnerability of the largest component of a network

Reaching Bayesian belief Over networks in the presence of communication noise

A distributed collapse of a network's dimensionality

Diffusion analysis of distributed adaptive networks with graphical evolutionary game

Multi-scale anomaly detection in complex dynamic networks

A unified algorithmic approach to distributed optimization

Networks as signals, with an application to a bike sharing system

Random transmittance based filter array spectrometers: Sparse spectrum recovery and resolution improvement

Generalized shrinkage and penalty functions

Nonlinear compressed sensing with application to phase retrieval

Sparse Expander-like Real-valued Projection (SERP) matrices for compressed sensing

Object detection and recognition using structured dimensionality reduction

A sparse randomized Kaczmarz algorithm

Low-rank matrix recovery with poison noise

Projections onto convex sets (POCS) based optimization by lifting

Compressive time delay estimation using interpolation

Embedding-based representation of signal distances

Dictionary learning via projected maximal exploration

A tightest convex envelope heuristic to row sparse and rank one matrices

Reconstruction of Gaussian mixture models from compressive measurements: A phase transition view

Distributed compressed sensing algorithms: Completing the puzzle

Using the coefficient of variation to improve the sparsity of seismic data

Greed is super: A new iterative method for super-resolution

Tractability of interpretability via selection of group-sparse models

A Matlab toolbox for visualization of image manifolds

Wideband DOA estimation based on block FOCUSS with limited samples

Low power detection on capacitive touch screens

Context-aware signal processing in medical embedded systems: A dynamic feature selection approach

Synthesis of Gabor filtered signal by convolving low-Q filtered signal with Gaussian function for efficient computation

Streaming implementation of video algorithms on a low-power parallel architecture

Towards a smart sensor interface for wearable cough monitoring

A framework to improve programmability of low power many-core processor for scalable DSP application

Path planning using a neuron array integrated circuit

Low overhead correction scheme for unreliable LDPC buffering

Designing a clock cleaner with an on-demand digital sigma-delta modulator

Optimal quantization of likelihood for low complexity sequential testing

Physics based computing enabling energy efficiency past moore's law

Cheap noisy sensors can improve activity monitoring under stringent energy constraints

An improvement ISAR range alignment algorithm

A signal adaptive time of arrival estimation algorithm based on polynomial rooting

MAP image reconstruction for land mine and IED detection using ground penetrating radar

Sparse multi-static arrays for near-field millimeter-wave imaging

Sensitivity analysis of beamforming applied to coherent imaging systems

Micromachined probes for on-wafer measurement of millimeter- and submillimeter-wave devices and components

Minimum bias design for a distributed aperture millimeter wave imager

CMOS mm-wave transceiver techniques beyond 50 GHz

Millimeter wave beamforming for multiuser dual-polarized MIMO systems

3-D object tracking in millimeter-wave radar for advanced driver assistance systems

Coverage analysis for millimeter wave cellular networks with blockage effects

Online calibration and synchronization of cellphone camera and gyroscope

Mobile-based hazmat sign detection and recognition

Multi-channel heart-beat detection

Comparison of two computationally feasible image deblurring techniques for smartphones

Corner detection for real-time mobile imaging application

Compact color features with bitwise quantization and reduced resolution for mobile processing

Scribble2focus: An interactive photo refocusing system based on mobile stereo imaging

Workload analysis and efficient OpenCL-based implementation of SIFT algorithm on a smartphone

Spatially varying radiometric calibration for camera-display messaging

Joint edge-directed interpolation and adaptive sharpening filter

Global image editing using the spectrum of affinity matrices

Improving coding and delivery of video by exploiting the oblique effect

Link-failure detection in network synchronization processes

Parallel pursuit for distributed compressed sensing

Coded slotted ALOHA with varying packet loss rate across users

Alternative axiomatic constructions for hierarchical clustering of asymmetric networks

An analysis of the temporal correlation of interference in extended wireless networks

Fair rate allocation for broadcast channel with confidential messages

On the necessity of full-state measurement for state-space network reconstruction

Consensus-based distributed online prediction and optimization

Robust tomography via network traffic maps leveraging sparsity and low rank

A topological max-flow-min-cut theorem

Interactive relay assisted source coding

Resource tradeoffs in distributed subspace tracking over the wireless medium

Distributed data cleansing via a low-rank decomposition

Characterization of connectivity dynamics in intrinsic brain networks

Disaggregated bundle methods for distributed market clearing in power networks

Identifiability of sparse structural equation models for directed and cyclic networks

Neural network modulation, dynamics, and plasticity

Traffic optimization to control epidemic outbreaks in metapopulation models

A convex framework for optimal investment on disease awareness in social networks

A parsimonious model for wireless connectivity in robotic networks

Smart meter privacy for multiple users in the presence of an alternative energy source

Optimal deployment of caches in the plane

Study of user On/Off patterns in random networks

Bayesian quickest change point detection and localization in sensor networks

Joint signal and channel state information compression for uplink network MIMO systems

Beamforming design for joint localization and data transmission in distributed antenna systems

Distributed stochastic multicommodity flow optimization

A study of semantic data compression

On a consistent procedure for distributed recursive nonlinear least-squares estimation

Source localization in complex networks using a frequency-domain approach

Opportunistic relaying with partial CSI and dynamic resource allocation

Distributed compressed sensing in dynamic networks

Recent advances in supervised learning for brain graph classification

Understanding networks and their behaviors using sheaf theory

On constant gaps for the K-pair user two-way Gaussian interference channel with interaction

Hybrid coding: A new paradigm for relay communication

Availability and locality in distributed storage

Topological analysis of the steady-state mean-square deviation in noisy consensus

Exploiting interference for efficient distributed computation in cluster-based wireless sensor networks

Finding role communities in directed networks using Role-Based Similarity, Markov Stability and the Relaxed Minimum Spanning Tree

Distortion exponent with side-information diversity

Plug-and-Play priors for model based reconstruction

Single image super resolution via manifold linear approximation using sparse subspace clustering

Spatio-spectral anomalous change detection in hyperspectral imagery

Local error detection in sparse magnetic resonance imaging

Fundamental limits for support recovery of tree-sparse signals from noisy compressive samples

Robust and sparse estimation of tensor decompositions

Multiscale sparse representation classification for robust hyperspectral image analysis

Nearly optimal linear embeddings into very low dimensions

Learning overcomplete dictionaries with ℓ0-sparse Non-negative Matrix Factorisation

Learning features in deep architectures with unsupervised kernel k-means

Compressive anomaly detection in large networks

Bayesian pairwise collaboration detection in educational datasets

Clustering on multi-layer graphs via subspace analysis on Grassmann manifolds

Threshold effects in parameter estimation from compressed data

Sparse representation classification via sequential Lasso screening

A theoretical framework for surrogate supervision multiview learning

Structured sampling of structured signals

Anamorphic time stretch transform and its application to analog bandwidth compression

Sub-Nyquist medical ultrasound imaging: En route to cloud processing

Domain-specific progressive sampling of face images

Infinite Gaussian mixture models for robust decision fusion of hyperspectral imagery and full waveform LiDAR data

Projections designs for compressive classification

Adaptive dictionaries for compressive imaging

Track estimation using link line crossing information in wireless networks

Two-part reconstruction in compressed sensing

Dual-scale masks for spatio-temporal compressive imaging

Information-driven sensor planning: Navigating a statistical manifold

Parametric Poisson process imaging

Distributed estimation in sensor networks with quality feedback: A general framework

Performance guarantees for undersampled recursive sparse recovery in large but structured noise

Computationally-efficient blind sub-Nyquist sampling for sparse spectra

Image deblocking using convex optimization with modified total variation method

Gender classification of depth images based on shape and texture analysis

Fast L0-based image deconvolution with variational Bayesian inference and majorization-minimization

A variational framework for single low light image enhancement using bright channel prior

Gaussian mixture Markov random field for image denoising and reconstruction

Iterative scheduling for cell-edge in multi-cell MU-MIMO

Iterative multiuser joint decoding based on ADMM

A robust semi-supervised boosting method using linear programming

Group symmetry and non-Gaussian covariance estimation

Regularized stochastic BFGS algorithm

Phase retrieval of sparse signals from Fourier Transform magnitude using non-negative matrix factorization

Exact optimization conditions for discrete linear inverse problems

Exploring the intersection of active learning and stochastic convex optimization

A convex method for learning d-valued models

Robust large-scale non-negative matrix factorization using Proximal Point algorithm

Equity factor analysis via column subset selection

FINPAGE: Generating high performance feed-specific parser circuits

Symmetric Nash equilibrium in a secondary spectrum market

Quantile regression for workforce analytics

Challenges in smartphone-driven usage based insurance

Modeling risk of low latency trading strategies

A distributed algorithm for systemic risk mitigation in financial systems

Non-parametric prediction in a limit order book

Beyond PCA for modeling financial time-series

Sparse simplex projections for portfolio optimization

Multifactor systematic risk analysis based on Piecewise Mean Reverting model

Factor model estimation by using the alpha-EM algorithm

Piecewise constant modeling and Kalman filter tracking of systematic market risk

An analysis of the U.S. Gross State Product co-movement using the Minimum Dominating Set

Adaptive digital pre-distortion for multiple antenna transmitters

Game theoretic approach to dynamic spectrum access with multi-radio and QoS requirements

Improving the interference temperature estimation for Dynamic Spectrum Access in cognitive radios

Digital linearization of direct-conversion spectrum sensing receiver

Augmented Volterra predistortion for the joint mitigation of power amplifier and I/Q modulator impairments in wideband flexible radio

Spectrum sensing method without the impact of noise uncertainty

Sub-Nyquist power spectrum reconstruction and support detection for cognitive radios

Improved carrier frequency offset estimator for common referenced sampling and RF oscillators in OFDM transceivers

How wideband receiver nonlinearities impact spectrum sensing

Statistical interference maps for opportunistic spectrum access in OFDMA cellular networks

Low-rank matrix completion based malicious user detection in cooperative spectrum sensing

Spoofing optimization over Nakagami-m fading channels of a cognitive radio adversary

Spectrum handoffs with mixed-priority queueing model over Cognitive Radio Networks

Time-domain compression of complex-baseband LTE signals for cloud radio access networks

Cyclostationarity-based wideband spectrum sensing using random sampling

Providing disruption QoS in an OFDM system using Residual Idle Time Based opportunistic spectrum access

MMME and DME: Two new eigenvalue-based detectors for spectrum sensing in cognitive radio

Subcarrier allocation and power control with LTE-A carrier aggregation

Mitigation of inter-symbol interference in single-carrier FDMA via group detection

A C-programmable baseband processor with inner modem implementations for LTE Cat-4/5/7 and Gbps 80MHz 4×4 802.11ac (invited)

A graphical approach to GPS software-defined receiver implementation

A LabVIEW-based fast prototyping software defined GPS receiver platform

ePUMA: A unique memory access based parallel DSP processor for SDR and CR

From OpenCL to gates: The FFT

Pipelined FFT for wireless communications supporting 128–2048 / 1536 -point transforms

Software defined FFT architecture for IEEE 802.11ac

High performance real-time Pre-Processing for Fixed-Complexity Sphere Decoder

A processor based multi-standard low-power LDPC engine for multi-Gbps wireless communication

High throughput low latency LDPC decoding on GPU for SDR systems

A carrier recovery architecture for next generation wideband modems

A SDR architecture based on FPGA for multi-standard transmitter

Selective decoding in associative memories based on Sparse-Clustered Networks

Open the Gates: Using High-level Synthesis towards programmable LDPC decoders on FPGAs

Performance evaluation of LDPC decoding on a general purpose mobile CPU

Scalable successive-cancellation hardware decoder for polar codes

Towards elastic SDR architectures using dynamic task management

Enhanced performance in wideband cognitive radios via compressive sensing

Efficient reconfigurable scheme for the recovery of sub-Nyquist sampled sparse multi-band signals

FINPAGE: Generating high performance feed-specific parser circuits

Content Provider	IEEE Xplore Digital Library
Author	Moussalli, R. Sukhwani, B. Asaad, S.
Copyright Year	2013
Description	Author affiliation: IBM T.J. Watson Res. Center, Yorktown Heights, NY, USA (Moussalli, R.; Sukhwani, B.; Asaad, S.)
Abstract	The low latency and high throughput requirements of high-frequency trading has resulted in increasing adoption of dedicated hardware for processing financial feeds. Development of hardware platforms, however, is plagued with slow design/verification cycles compared to their software counterparts. In this work, we present FINPAGE, a FINancial PArser GEnerator, to automatically generate hardware structures for parsing financial feeds. Given a high-level feed format description, FINPAGE generates an area-efficient hardware parser capable of processing feeds at line rate.
Starting Page	1132
Ending Page	1132
File Size	224471
Page Count	1
File Format	PDF
ISBN	9781479902484
DOI	10.1109/GlobalSIP.2013.6737095
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-03
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Computer architecture Throughput Hardware Generators Feeds Field programmable gate arrays Payloads
Content Type	Text
Resource Type	Article

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