16 search results - page 3 / 4 » Sparse Recovery with Orthogonal Matching Pursuit under RIP |
CORR
2008
Springer
13 years 5 months ago
2008
Springer
The two major approaches to sparse recovery are L1-minimization and greedy methods. Recently, Needell and Vershynin developed Regularized Orthogonal Matching Pursuit (ROMP) that ha...
ICASSP
2010
IEEE
13 years 5 months ago
2010
IEEE
We consider the problem of estimating a deterministic sparse vector x0 from underdetermined measurements Ax0 + w, where w represents white Gaussian noise and A is a given determin...
TIT
2010
12 years 11 months ago
2010
This paper considers recovery of jointly sparse multichannel signals from incomplete measurements. Several approaches have been developed to recover the unknown sparse vectors from...
CORR
2007
Springer
13 years 5 months ago
2007
Springer
This article extends the concept of compressed sensing to signals that are not sparse in an orthonormal basis but rather in a redundant dictionary. It is shown that a matrix, whic...
TSP
2010
12 years 11 months ago
2010
We consider efficient methods for the recovery of block-sparse signals--i.e., sparse signals that have nonzero entries occurring in clusters--from an underdetermined system of line...