163 search results - page 19 / 33 » Explicit constructions for compressed sensing of sparse sign... |
110
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TSP
2010
14 years 4 months ago
2010
We present two simple methods for recovering sparse signals from a series of noisy observations. The theory of compressed sensing (CS) requires solving a convex constrained minimiz...
ICASSP
2009
IEEE
15 years 4 months ago
2009
IEEE
In recent work, we studied the problem of causally reconstructing time sequences of spatially sparse signals, with unknown and slow time-varying sparsity patterns, from a limited ...
109
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JMLR
2012
13 years 7 days ago
2012
Standard compressive sensing results state that to exactly recover an s sparse signal in Rp , one requires O(s · log p) measurements. While this bound is extremely useful in prac...
108
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TIP
2010
14 years 8 months ago
2010
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
115
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ICASSP
2008
IEEE
15 years 4 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...