441 search results - page 1 / 89 » Sparse Recovery Using Sparse Random Matrices |
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Voted
LATIN
2010
Springer
15 years 4 months ago
2010
Springer
CORR
2010
Springer
14 years 10 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
14 years 9 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
14 years 10 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
14 years 7 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...