172 search results - page 8 / 35 » Support Recovery of Sparse Signals |
TIT
2010
14 years 4 months ago
2010
In this paper, we study the number of measurements required to recover a sparse signal in M with L nonzero coefficients from compressed samples in the presence of noise. We conside...
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...
SODA
2010
ACM
15 years 6 months ago
2010
ACM
We consider the following k-sparse recovery problem: design an m ? n matrix A, such that for any signal x, given Ax we can efficiently recover ^x satisfying
ICASSP
2011
IEEE
14 years 1 months ago
2011
IEEE
Compressive sensing (CS) is a new approach for the acquisition and recovery of sparse signals that enables sampling rates significantly below the classical Nyquist rate. Based on...
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ICASSP
2008
IEEE
15 years 3 months ago
2008
IEEE
Compressive sensing aims to recover a sparse or compressible signal from a small set of projections onto random vectors; conventional solutions involve linear programming or greed...