555 search results - page 20 / 111 » Bayesian Compressive Sensing |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
Recent works in modified compressed sensing (CS) show that reconstruction of sparse or compressible signals with partially known support yields better results than traditional CS...
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...
DCC
2010
IEEE
14 years 2 months ago
2010
IEEE
Inspired by syndrome source coding using linear error-correcting codes, we explore a new form of measurement matrix for compressed sensing. The proposed matrix is constructed in t...
GLOBECOM
2009
IEEE
14 years 2 months ago
2009
IEEE
Abstract— In this paper, a novel multiple target localization approach is proposed by exploiting the compressive sensing theory, which indicates that sparse or compressible signa...
ICASSP
2009
IEEE
14 years 2 months ago
2009
IEEE
Compressive sensing (CS) has been proposed for signals with sparsity in a linear transform domain. We explore a signal dependent unknown linear transform, namely the impulse respo...