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

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Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

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 can also be seen as factorising a

\ddim \times \nsig

matrix $Y=(y_1 \ldots y_\nsig), , y_n\in \R^\ ...

Institute of Electrical and Electronics Engineers2010

A simple test to check the optimality of a sparse signal approximation

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Chattez avec Graph Search

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Fast orthogonal sparse approximation algorithms over local dictionaries

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Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

Sparsity & [and] dictionaries - algorithms & [and] design

Greedy dictionary selection for sparse representation

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Learning dictionaries of spatial and temporal EEG primitives for brain-computer interfaces

Ultrasound Tomography with Learned Dictionaries

Compressive sensing meets game theory

Dictionary Identification - Sparse Matrix-Factorisation via $\ell_1$-Minimisation

Sparsity & [and] dictionaries - algorithms & [and] design

Greedy dictionary selection for sparse representation

Fast orthogonal sparse approximation algorithms over local dictionaries

Compressive sensing recovery of spike trains using a structured sparsity model

Spread spectrum for imaging techniques in radio interferometry

Spread spectrum for imaging techniques in radio interferometry and strings detection