Saikat Chatterjee

IEEE Trans. Signal Inf. Process. over Networks, 2019

Estimate exchange over network is good for distributed hard thresholding pursuit.

[BibT_eX]

[DOI]

Signal Process., 2019

On Hilbert transform, analytic signal, and modulation analysis for signals over graphs.

[BibT_eX]

[DOI]

Signal Process., 2019

SSFN: Self Size-estimating Feed-forward Network and Low Complexity Design.

[BibT_eX]

[DOI]

CoRR, 2019

Kernel Regression for Graph Signal Prediction in Presence of Sparse Noise.

[BibT_eX]

[DOI]

Pascal Frossard

Proceedings of the IEEE International Conference on Acoustics, 2019

Entropy-regularized Optimal Transport Generative Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

α Belief Propagation as Fully Factorized Approximation.

[BibT_eX]

[DOI]

Proceedings of the 2019 IEEE Global Conference on Signal and Information Processing, 2019

Convex Optimization Based Sparse Learning Over Networks.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

LOSoft: ℓ0 Minimization via Soft Thresholding.

[BibT_eX]

[DOI]

Proceedings of the 27th European Signal Processing Conference, 2019

2018

Sparse Signal Recovery Using Iterative Proximal Projection.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2018

Greedy Sparse Learning Over Network.

[BibT_eX]

[DOI]

Lars Kildehoj Rasmussen

IEEE Trans. Signal Inf. Process. over Networks, 2018

Supervised Linear Regression for Graph Learning from Graph Signals.

[BibT_eX]

[DOI]

Hermina Petric Maretic

Pascal Frossard

CoRR, 2018

Locally Convex Sparse Learning over Networks.

[BibT_eX]

[DOI]

CoRR, 2018

R3Net: Random Weights, Rectifier Linear Units and Robustness for Artificial Neural Network.

[BibT_eX]

[DOI]

Alireza M. Javid

CoRR, 2018

Mutual Information Preserving Analysis of a Single Layer Feedforward Network.

[BibT_eX]

[DOI]

Alireza M. Javid

Proceedings of the 15th International Symposium on Wireless Communication Systems, 2018

Multi-Kernel Regression for Graph Signal Processing.

[BibT_eX]

[DOI]

Peter Handel

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Distributed Large Neural Network with Centralized Equivalence.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

Extreme Learning Machine for Graph Signal Processing.

[BibT_eX]

[DOI]

Peter Handel

Proceedings of the 26th European Signal Processing Conference, 2018

2017

Generalized fusion algorithm for compressive sampling reconstruction and RIP-based analysis.

[BibT_eX]

[DOI]

Lars K. Rasmussen

Signal Process., 2017

Large Neural Network Based Detection of Apnea, Bradycardia and Desaturation Events.

[BibT_eX]

[DOI]

CoRR, 2017

Progressive Learning for Systematic Design of Large Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2017

Kernel Regression for Signals over Graphs.

[BibT_eX]

[DOI]

CoRR, 2017

Distributed greedy sparse learning over doubly stochastic networks.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

A connectedness constraint for learning sparse graphs.

[BibT_eX]

[DOI]

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Design and Analysis of a Greedy Pursuit for Distributed Compressed Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Relevance Singular Vector Machine for Low-Rank Matrix Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2016

Analysis of Regularized LS Reconstruction and Random Matrix Ensembles in Compressed Sensing.

[BibT_eX]

[DOI]

Yoshiyuki Kabashima

IEEE Trans. Inf. Theory, 2016

Alternating strategies with internal ADMM for low-rank matrix reconstruction.

[BibT_eX]

[DOI]

Signal Process., 2016

Hilbert Transform, Analytic Signal, and Modulation Analysis for Graph Signal Processing.

[BibT_eX]

[DOI]

CoRR, 2016

Automatic Recognition of Social Roles Using Long Term Role Transitions in Small Group Interactions.

[BibT_eX]

[DOI]

Proceedings of the Interspeech 2016, 2016

Bayesian Cramer-Rao bounds for factorized model based low rank matrix reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 24th European Signal Processing Conference, 2016

2015

Bayesian Learning for Low-Rank matrix reconstruction.

[BibT_eX]

[DOI]

CoRR, 2015

Greedy minimization of l1-norm with high empirical success.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Acoustics, 2015

Universal algorithm for compressive sampling.

[BibT_eX]

[DOI]

Lars K. Rasmussen

Proceedings of the 23rd European Signal Processing Conference, 2015

Graph linear prediction results in smaller error than standard linear prediction.

[BibT_eX]

[DOI]

Peter Handel

Proceedings of the 23rd European Signal Processing Conference, 2015

Bayesian learning for robust principal component analysis.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

Bayesian learning for time-varying linear prediction of speech.

[BibT_eX]

[DOI]

Proceedings of the 23rd European Signal Processing Conference, 2015

A 65 nm standard cell library for ultra low-power applications.

[BibT_eX]

[DOI]

Proceedings of the European Conference on Circuit Theory and Design, 2015

2014

Estimation for the Linear Model With Uncertain Covariance Matrices.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Joint Source-Channel Vector Quantization for Compressed Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

A Committee Machine Approach for Compressed Sensing Signal Reconstruction.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2014

Distributed greedy pursuit algorithms.

[BibT_eX]

[DOI]

Signal Process., 2014

Dirichlet mixture modeling to estimate an empirical lower bound for LSF quantization.

[BibT_eX]

[DOI]

Signal Process., 2014

Progressive fusion of reconstruction algorithms for low latency applications in compressed sensing.

[BibT_eX]

[DOI]

Signal Process., 2014

Methods for Distributed Compressed Sensing.

[BibT_eX]

[DOI]

J. Sens. Actuator Networks, 2014

Analysis of Democratic Voting Principles used in Distributed Greedy Algorithms.

[BibT_eX]

[DOI]

CoRR, 2014

DIPP - Distributed Parallel Pursuit.

[BibT_eX]

[DOI]

CoRR, 2014

Relevance Singular Vector Machine for low-rank matrix sensing.

[BibT_eX]

[DOI]

CoRR, 2014

Distributed Quantization for Measurement of Correlated Sparse Sources over Noisy Channels.

[BibT_eX]

[DOI]

CoRR, 2014

Alternating Strategies Are Good For Low-Rank Matrix Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2014

SEK: sparsity exploiting <i>k</i>-mer-based estimation of bacterial community composition.

[BibT_eX]

[DOI]

Bioinform., 2014

A sparsity based preprocessing for noise robust speech recognition.

[BibT_eX]

[DOI]

Christos Koniaris

Proceedings of the 2014 IEEE Spoken Language Technology Workshop, 2014

Reduced Look Ahead Orthogonal Matching Pursuit.

[BibT_eX]

[DOI]

Prateek Basavapur Swamy

Proceedings of the Twentieth National Conference on Communications, 2014

Distributed quantization for compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Combined modeling of sparse and dense noise improves Bayesian RVM.

[BibT_eX]

[DOI]

Proceedings of the 22nd European Signal Processing Conference, 2014

Piecewise Toeplitz matrices-based sensing for rank minimization.

[BibT_eX]

[DOI]

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

Analysis-by-Synthesis Quantization for Compressed Sensing Measurements.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

The Linear Model Under Mixed Gaussian Inputs: Designing the Transfer Matrix.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Fusion of Algorithms for Compressed Sensing.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2013

Line spectrum estimation with probabilistic priors.

[BibT_eX]

[DOI]

Signal Process., 2013

Iteratively reweighted least squares for reconstruction of low-rank matrices with linear structure.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Distributed predictive subspace pursuit.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Analysis-by-synthesis-based quantization of compressed sensing measurements.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Channel-optimized vector quantizer design for compressed sensing measurements.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

Pilot design for MIMO channel estimation: An alternative to the Kronecker structure assumption.

[BibT_eX]

[DOI]

John T. Flåm

Emil Björnson

Proceedings of the IEEE International Conference on Acoustics, 2013

Parallel pursuit for distributed compressed sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE Global Conference on Signal and Information Processing, 2013

Statistical mechanics approach to sparse noise denoising.

[BibT_eX]

[DOI]

Yoshiyuki Kabashima

Proceedings of the 21st European Signal Processing Conference, 2013

Conditional prior based lmmse estimation of sparse signals.

[BibT_eX]

[DOI]

Proceedings of the 21st European Signal Processing Conference, 2013

Enhanced Capon beamformer using regularized covariance matching.

[BibT_eX]

[DOI]

Proceedings of the 5th IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing, 2013

2012

Dynamic Iterative Pursuit.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

On MMSE Estimation: A Linear Model Under Gaussian Mixture Statistics.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Projection-Based and Look-Ahead Strategies for Atom Selection.

[BibT_eX]

[DOI]

IEEE Trans. Signal Process., 2012

Alternating Least-Squares for Low-Rank Matrix Reconstruction.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2012

Typical l<sub>1</sub>-recovery limit of sparse vectors represented by concatenations of random orthogonal matrices

[BibT_eX]

[DOI]

Yoshiyuki Kabashima

CoRR, 2012

Fusion of Matching Pursuits for Compressed Sensing Signal Reconstruction

[BibT_eX]

[DOI]

CoRR, 2012

FROGS: A serial reversible greedy search algorithm.

[BibT_eX]

[DOI]

Proceedings of the 2012 Swedish Communication Technologies Workshop, Swe-CTW 2012, Lund, 2012

Analysis of sparse representations using bi-orthogonal dictionaries.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE Information Theory Workshop, 2012

Performance bounds for vector quantized compressive sensing.

[BibT_eX]

[DOI]

Proceedings of the International Symposium on Information Theory and its Applications, 2012

Dynamic subspace pursuit.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

A greedy pursuit algorithm for distributed compressed sensing.

[BibT_eX]

[DOI]

Bhavani Shankar Mysore Rama Rao

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Detection of sparse random signals using compressive measurements.

[BibT_eX]

[DOI]

Björn E. Ottersten

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Fusion of Greedy Pursuits for compressed sensing signal reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 20th European Signal Processing Conference, 2012

2011

Auditory Model-Based Design and Optimization of Feature Vectors for Automatic Speech Recognition.

[BibT_eX]

[DOI]

IEEE Trans. Speech Audio Process., 2011

Look ahead parallel pursuit.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE Swedish Communication Technologies Workshop, 2011

Analysis of MMSE estimation for compressive sensing of block sparse signals.

[BibT_eX]

[DOI]

Proceedings of the 2011 IEEE Information Theory Workshop, 2011

Gaussian mixture modeling for source localization.

[BibT_eX]

[DOI]

John T. Flåm

Joakim Jaldén

Proceedings of the IEEE International Conference on Acoustics, 2011

Look ahead orthogonal matching pursuit.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2011

Greedy pursuits for compressed sensing of jointly sparse signals.

[BibT_eX]

[DOI]

Proceedings of the 19th European Signal Processing Conference, 2011

Hybrid greedy pursuit.

[BibT_eX]

[DOI]

Proceedings of the 19th European Signal Processing Conference, 2011

2010

On the use of compressive sampling for wide-band spectrum sensing.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2010

Statistical post-processing improves basis pursuit denoising performance.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Symposium on Signal Processing and Information Technology, 2010

A ratification of means: international law and assistive technology in the developing world.

[BibT_eX]

[DOI]

Proceedings of the 4th ACM/IEEE International Conference on Information and Communication Technologies and Development, 2010

Selecting static and dynamic features using an advanced auditory model for speech recognition.

[BibT_eX]

[DOI]

Christos Koniaris

Proceedings of the IEEE International Conference on Acoustics, 2010

Auditory model based modified MFCC features.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2010

Structured Gaussian mixture model based product VQ.

[BibT_eX]

[DOI]

Proceedings of the 18th European Signal Processing Conference, 2010

2009

Reduced complexity two stage vector quantization.

[BibT_eX]

[DOI]

Digit. Signal Process., 2009

Auditory model based optimization of MFCCs improves automatic speech recognition performance.

[BibT_eX]

[DOI]

Christos Koniaris

Proceedings of the INTERSPEECH 2009, 2009

Analysis-by-synthesis based switched transform domain split VQ using Gaussian mixture model.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2009

2008

Optimum Transform Domain Split VQ.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2008

Predicting VQ Performance Bound for LSF Coding.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2008

Switched Conditional PDF-Based Split VQ Using Gaussian Mixture Model.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2008

Optimum switched split vector quantization of LSF parameters.

[BibT_eX]

[DOI]

Signal Process., 2008

Subspace based speech enhancement using Gaussian mixture model.

[BibT_eX]

[DOI]

Achintya Kundu

Proceedings of the INTERSPEECH 2008, 2008

GMM based Bayesian approach to speech enhancement in signal / transform domain.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2008

Speech enhancement using intra-frame dependency in DCT domain.

[BibT_eX]

[DOI]

Achintya Kundu

Proceedings of the 2008 16th European Signal Processing Conference, 2008

Low complexity wideband LSF quantization using GMM of uncorrelated Gaussian mixtures.

[BibT_eX]

[DOI]

Proceedings of the 2008 16th European Signal Processing Conference, 2008

2007

Analysis of Conditional PDF-Based Split VQ.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2007

Conditional PDF-Based Split Vector Quantization of Wideband LSF Parameters.

[BibT_eX]

[DOI]

IEEE Signal Process. Lett., 2007

Joint inter-frame and intra-frame predictive coding of LSF parameters.

[BibT_eX]

[DOI]

Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Computationally efficient optimum weighting function for vector quantization of LSF parameters.

[BibT_eX]

[DOI]

Proceedings of the 9th International Symposium on Signal Processing and Its Applications, 2007

Normalized two stage SVQ for minimum complexity wide-band LSF quantization.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2007, 2007

Sequential Split Vector Quantization of LSF Parameters using Conditional Pdf.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2007

2006

Comparison of prediction based LSF quantization methods using split VQ.

[BibT_eX]

[DOI]

Proceedings of the INTERSPEECH 2006, 2006

Two stage transform vector quantization of LSFs for wideband speech coding.

[BibT_eX]

[DOI]