168 search results - page 16 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
150
click to vote
ICASSP
2009
IEEE
16 years 9 days ago
2009
IEEE
We propose a “compressive” estimator of the Wigner-Ville spectrum (WVS) for time-frequency sparse, underspread, nonstationary random processes. A novel WVS estimator involving...
180
click to vote
ICASSP
2011
IEEE
14 years 9 months ago
2011
IEEE
—We present an alternative analysis of weighted 1 minimization for sparse signals with a nonuniform sparsity model, and extend our results to nuclear norm minimization for matric...
150
click to vote
CORR
2010
Springer
15 years 5 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...
182
click to vote
TSP
2010
15 years 7 days 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...
159
click to vote
ECCV
2008
Springer
16 years 7 months ago
2008
Springer
Abstract. Compressive sensing (CS) is an emerging field that provides a framework for image recovery using sub-Nyquist sampling rates. The CS theory shows that a signal can be reco...