Matthieu KOWALSKI
Associate Professor
matthieu.kowalski@l2s.centralesupelec.fr
L2S, CentraleSupélec
Bât. Breguet C4.16
3 rue Joliot Curie
91190 Gif-sur-Yvette, France
Underdetermined Reverberant Blind Source Separation: Sparse Approaches for Multiplicative and Convolutive Narrowband Approximation
Estimation with Low-Rank Time-Frequency Synthesis Models
Water Residence Time Estimation by 1D Deconvolution in the Form of a l 2 -Regularized Inverse Problem With Smoothness, Positivity and Causality Constraints
Hybrid Projective Nonnegative Matrix Factorization with Drum Dictionaries for Harmonic/Percussive Source Separation
Revisiting Sparse ICA from a Synthesis Point of View: Blind Source Separation for Over and Underdetermined Mixture
Convex Optimization approach to signals with fast varying instantaneous frequency
Proximal Algorithm Meets a Conjugate descent
Toward a numerical deshaker for PFS
Adapted and adaptive linear time-frequency representations: a synthesis point of view
Social Sparsity! Neighborhood Systems Enrich Structured Shrinkage Operators
PARAMETER ESTIMATION IN SPARSE INVERSE PROBLEMS USING BERNOULLI-GAUSSIAN PRIOR
MIP and Set Covering approaches for Sparse Approximation
MIP and Set Covering approaches for Sparse Approximation
Sparsity and low-rank amplitude based blind Source Separation
Drum extraction in single channel audio signals using multi-layer non negative matrix factor deconvolution
Genre specific dictionaries for harmonic/percussive source separation
Social-sparsity brain decoders: faster spatial sparsity
Méthode Structurée de décomposition en matrices non- négatives appliquéè a la séparation de sources audio
Vers une approche unifiée pour la séparation aveugle de sources en sur et sous-déterminé, basée sur la parcimonie et la décorrélation
A structured nonnegative matrix factorization for source separation
Sparse Wars
Approximation des signaux: approches variationnelles et modèles aléatoires
CentraleSupélec,
bât. Bréguet, 3, rue Joliot Curie,
91190 Gif-sur-Yvette
Supporting institutes
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