168 search results - page 3 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
ICASSP
2009
IEEE
14 years 29 days 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...
SODA
2008
ACM
13 years 7 months ago
2008
ACM
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
The recently developed compressive sensing (CS) framework enables the design of sub-Nyquist analog-to-digital converters. Several architectures have been proposed for the acquisit...
ICASSP
2008
IEEE
14 years 20 days ago
2008
IEEE
Consider a scenario where a distributed signal is sparse and is acquired by various sensors that see different versions. Thus, we have a set of sparse signals with both some commo...
ICASSP
2011
IEEE
12 years 10 months ago
2011
IEEE
We introduce the Multiplicative Update Selector and Estimator (MUSE) algorithm for sparse approximation in underdetermined linear regression problems. Given f = Φα∗ + µ, the ...