441 search results - page 1 / 89 » Sparse Recovery Using Sparse Random Matrices |
LATIN
2010
Springer
13 years 11 months ago
2010
Springer
CORR
2010
Springer
13 years 4 months ago
2010
Springer
Compressive sensing predicts that sufficiently sparse vectors can be recovered from highly incomplete information. Efficient recovery methods such as 1-minimization find the sparse...
TSP
2008
13 years 4 months ago
2008
We consider the problem of recovering a matrix from its action on a known vector in the setting where the matrix can be represented efficiently in a known matrix dictionary. Conne...
CORR
2008
Springer
13 years 4 months ago
2008
Springer
We study the information-theoretic limits of exactly recovering the support set of a sparse signal, using noisy projections defined by various classes of measurement matrices. Our ...
ICASSP
2009
IEEE
13 years 2 months ago
2009
IEEE
This paper studies compressed sensing for the recovery of non-negative sparse vectors from a smaller number of measurements than the ambient dimension of the unknown vector. We fo...