Add to ORKGHighly sparse representations from dictionaries are unique and independent of the sparseness measur
Linear approaches to the problem of unsupervised data dimensionality reduction consist in finding a ...
We prove that if Orthogonal Matching Pursuit (OMP) recovers all s-sparse signals for a given diction...
International audienceThe purpose of this correspondence is to generalize a result by Donoho and Huo...
This paper appeared as technical report in 2003, see http://hal.inria.fr/inria-00564038/Internationa...
A series of recent results shows that if a signal admits a sufficiently sparse representation (in te...
International audienceA series of recent results shows that if a signal admits a sufficiently sparse...
AbstractThe purpose of this paper is to study sparse representations of signals from a general dicti...
In an incoherent dictionary, most signals that admit a sparse representation admit a unique sparse r...
Most of the naturally occurring signals typically carry overwhelming amounts of data in which releva...
The purpose of this paper is to generalize a result by Donoho, Huo, Elad and Bruckstein on sparse re...
The purpose of this paper is to generalize a result by Donoho, Huo, Elad and Bruckstein on sparse re...
The purpose of this paper is to generalize a result by Donoho, Huo, Elad and Bruckstein on sparse re...
Linear approaches to the problem of unsupervised data dimensionality reduction consist in finding a ...
We prove that if Orthogonal Matching Pursuit (OMP) recovers all s-sparse signals for a given diction...
International audienceThe purpose of this correspondence is to generalize a result by Donoho and Huo...
This paper appeared as technical report in 2003, see http://hal.inria.fr/inria-00564038/Internationa...
A series of recent results shows that if a signal admits a sufficiently sparse representation (in te...
International audienceA series of recent results shows that if a signal admits a sufficiently sparse...
AbstractThe purpose of this paper is to study sparse representations of signals from a general dicti...
In an incoherent dictionary, most signals that admit a sparse representation admit a unique sparse r...
Most of the naturally occurring signals typically carry overwhelming amounts of data in which releva...
The purpose of this paper is to generalize a result by Donoho, Huo, Elad and Bruckstein on sparse re...
The purpose of this paper is to generalize a result by Donoho, Huo, Elad and Bruckstein on sparse re...
The purpose of this paper is to generalize a result by Donoho, Huo, Elad and Bruckstein on sparse re...
Linear approaches to the problem of unsupervised data dimensionality reduction consist in finding a ...
We prove that if Orthogonal Matching Pursuit (OMP) recovers all s-sparse signals for a given diction...
International audienceThe purpose of this correspondence is to generalize a result by Donoho and Huo...