168 search results - page 3 / 34 » Bayesian Compressive Sensing for clustered sparse signals |
ICASSP
2009
IEEE
15 years 4 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...
SODA
2008
ACM
14 years 11 months ago
2008
ACM
ICASSP
2011
IEEE
14 years 1 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...
75
Voted
ICASSP
2008
IEEE
15 years 4 months 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...
73
Voted
ICASSP
2011
IEEE
14 years 1 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 ...