555 search results - page 17 / 111 » Bayesian Compressive Sensing |
PERCOM
2010
ACM
14 years 8 months ago
2010
ACM
—Data loss in wireless communications greatly affects the reconstruction quality of a signal. In the case of images, data loss results in a reduction in quality of the received i...
ICIP
2009
IEEE
14 years 7 months ago
2009
IEEE
Leading compressed sensing (CS) methods require m = O (k log(n)) compressive samples to perfectly reconstruct a k-sparse signal x of size n using random projection matrices (e.g., ...
CORR
2010
Springer
14 years 9 months ago
2010
Springer
We examine the use of a structured thresholding algorithm for sparse underwater channel estimation using compressed sensing. This method shows some improvements over standard algo...
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TIT
2010
14 years 4 months ago
2010
In [12] the authors proved an asymptotic sampling theorem for sparse signals, showing that n random measurements permit to reconstruct an N-vector having k nonzeros provided n >...
111
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TSP
2010
14 years 4 months ago
2010
Abstract--In this paper, we investigate various channel estimators that exploit channel sparsity in the time and/or Doppler domain for a multicarrier underwater acoustic system. We...