Skip to Main content Skip to Navigation
Journal articles

A simple test to check the optimality of sparse signal approximations

Rémi Gribonval 1 Rosa Maria Figueras I Ventura 2 Pierre Vandergheynst 2 
1 METISS - Speech and sound data modeling and processing
IRISA - Institut de Recherche en Informatique et Systèmes Aléatoires, Inria Rennes – Bretagne Atlantique
Abstract : Approximating a signal or an image with a sparse linear expansion from an overcomplete dictionary of atoms is an extremely useful tool to solve many signal processing problems. Finding the sparsest approximation of a signal from an arbitrary dictionary is a NP-hard problem. Despite this, several algorithms have been proposed that provide sub-optimal solutions. However, it is generally difficult to know how close the computed solution is to being "optimal", and whether another algorithm could provide a better result. In this paper we provide a simple test to check whether the output of a sparse approximation algorithm is nearly optimal, in the sense that no significantly different linear expansion from the dictionary can provide both a smaller approximation error and a better sparsity. As a by-product of our theorems, we obtain results on the identifiability of sparse overcomplete models in the presence of noise, for a fairly large class of sparse priors."
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download
Contributor : Rémi Gribonval Connect in order to contact the contributor
Submitted on : Tuesday, February 8, 2011 - 9:56:43 PM
Last modification on : Friday, February 4, 2022 - 3:12:27 AM
Long-term archiving on: : Monday, May 9, 2011 - 2:52:05 AM


Files produced by the author(s)



Rémi Gribonval, Rosa Maria Figueras I Ventura, Pierre Vandergheynst. A simple test to check the optimality of sparse signal approximations. Signal Processing, Elsevier, 2006, special issue on Sparse Approximations in Signal and Image Processing, 86 (3), pp.496--510. ⟨10.1016/j.sigpro.2005.05.026⟩. ⟨inria-00544941⟩



Record views


Files downloads