555 search results - page 23 / 111 » Bayesian Compressive Sensing |
111
Voted
TSP
2010
14 years 9 months ago
2010
Abstract--This paper describes performance bounds for compressed sensing (CS) where the underlying sparse or compressible (sparsely approximable) signal is a vector of nonnegative ...
144
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P2P
2010
IEEE
15 years 22 days ago
2010
IEEE
—In this paper we face the following problem: how to provide each peer local access to the full information (not just a summary) that is distributed over all edges of an overlay ...
138
Voted
ICIP
2008
IEEE
15 years 8 months ago
2008
IEEE
Compressed sensing(CS) suggests that a signal, sparse in some basis, can be recovered from a small number of random projections. In this paper, we apply the CS theory on sparse ba...
133
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ICASSP
2010
IEEE
15 years 2 months ago
2010
IEEE
Sparse coding networks, which utilize unsupervised learning to maximize coding efficiency, have successfully reproduced response properties found in primary visual cortex [1]. Ho...
97
Voted
CORR
2010
Springer
14 years 11 months ago
2010
Springer
1 minimization can be used to recover sufficiently sparse unknown signals from compressed linear measurements. In fact, exact thresholds on the sparsity, as a function of the ratio...