81 search results - page 11 / 17 » Reconstruction of sparse signals from distorted randomized m... |
TIT
2010
13 years 2 months ago
2010
This paper considers recovery of jointly sparse multichannel signals from incomplete measurements. Several approaches have been developed to recover the unknown sparse vectors from...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
Compressive Sensing (CS) is a new paradigm in signal acquisition and compression. In compressive sensing, a compressible signal is acquired using much less measurements than the o...
CVPR
2008
IEEE
14 years 9 months ago
2008
IEEE
Compressed sensing, an emerging multidisciplinary field involving mathematics, probability, optimization, and signal processing, focuses on reconstructing an unknown signal from a...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
`Approximate message passing' algorithms proved to be extremely effective in reconstructing sparse signals from a small number of incoherent linear measurements. Extensive num...
TSP
2010
13 years 2 months ago
2010
Nonparametric Bayesian methods are employed to constitute a mixture of low-rank Gaussians, for data x RN that are of high dimension N but are constrained to reside in a low-dimen...