172 search results - page 20 / 35 » Support Recovery of Sparse Signals |
137
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CORR
2012
Springer
13 years 7 months ago
2012
Springer
We consider the problem of recovering a target matrix that is a superposition of low-rank and sparse components, from a small set of linear measurements. This problem arises in co...
103
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CORR
2007
Springer
14 years 11 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...
105
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CORR
2007
Springer
14 years 11 months ago
2007
Springer
We consider signals and operators in finite dimension which have sparse time-frequency representations. As main result we show that an S-sparse Gabor representation in Cn with re...
130
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TIT
2010
14 years 6 months ago
2010
Compressed sensing (CS) has recently emerged as a powerful signal acquisition paradigm. In essence, CS enables the recovery of high-dimensional sparse signals from relatively few ...
110
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ICASSP
2011
IEEE
14 years 3 months ago
2011
IEEE
—We present an alternative analysis of weighted 1 minimization for sparse signals with a nonuniform sparsity model, and extend our results to nuclear norm minimization for matric...