Publications associées à A simple test to check the optimality of sparse signal approximations

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Basis Identification from Random Sparse Samples

Rémi Gribonval, Karin Schnass

This article treats the problem of learning a dictionary providing sparse representations for a given signal class, via

\ell_1

minimisation. The problem is to identify a dictionary

\dico

from a set of training samples

\Y

knowing that

\Y = \dico \X

...

2009

A simple test to check the optimality of sparse signal approximations

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Dictionary preconditioning for greedy algorithms

Recovery of Compressible Signals in Unions of Subspaces

Basis Identification from Random Sparse Samples

Compressed sensing for radio interferometry: spread spectrum imaging techniques

Dictionary preconditioning for greedy algorithms

Dequantizing Compressed Sensing with non-Gaussian Constraints

Compressed sensing and redundant dictionaries

Conditions for recovery of sparse signals correlated by local transforms

Near-Optimal Bayesian Localization via Incoherence and Sparsity

A low complexity orthogonal matching pursuit for sparse signal approximation with shift-invariant dictionaries

Learning bimodal structure in audio-visual data