Publications associées à On the Use of A Priori Information for Sparse Signal Approximations

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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

On the Use of A Priori Information for Sparse Signal Approximations

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Chattez avec Graph Search

Compressive sensing meets game theory

Fast orthogonal sparse approximation algorithms over local dictionaries

On Accelerated Hard Thresholding Methods for Sparse Approximation

Ultrasound Tomography with Learned Dictionaries

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

Spread spectrum for compressed sensing techniques in magnetic resonance imaging

Spread Spectrum For Compressed Sensing Techniques In Magnetic Resonance Imaging

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

Spread spectrum for imaging techniques in radio interferometry

Spread spectrum for imaging techniques in radio interferometry and strings detection

Compressive sensing meets game theory

Spread Spectrum For Compressed Sensing Techniques In Magnetic Resonance Imaging

Spread spectrum for imaging techniques in radio interferometry

On Accelerated Hard Thresholding Methods for Sparse Approximation

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

Spread spectrum for imaging techniques in radio interferometry and strings detection

Fast orthogonal sparse approximation algorithms over local dictionaries

Ultrasound Tomography with Learned Dictionaries

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

Spread spectrum for compressed sensing techniques in magnetic resonance imaging