555 search results - page 21 / 111 » Bayesian Compressive Sensing |
SIGPRO
2010
13 years 6 months ago
2010
This short note studies a variation of the Compressed Sensing paradigm introduced recently by Vaswani et al., i.e. the recovery of sparse signals from a certain number of linear m...
CORR
2010
Springer
13 years 5 months ago
2010
Springer
In this paper, motivated by network inference and tomography applications, we study the problem of compressive sensing for sparse signal vectors over graphs. In particular, we are ...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
We propose and analyze an extremely fast, efficient and simple method for solving the problem: min{ u 1 :Au=f,u∈Rn }. This method was first described in [1], with more details i...
CORR
2008
Springer
13 years 7 months ago
2008
Springer
Compressive sensing (CS) is an alternative to Shannon/Nyquist sampling for acquisition of sparse or compressible signals that can be well approximated by just K N elements from a...
ICASSP
2008
IEEE
14 years 2 months ago
2008
IEEE
We consider the estimation of doubly selective wireless channels within pulse-shaping multicarrier systems (which include OFDM systems as a special case). A new channel estimation...