555 search results - page 1 / 111 » Bayesian Compressive Sensing |
ICASSP
2010
IEEE
13 years 2 months ago
2010
IEEE
In this paper, we introduce a novel bayesian compressive sensing (CS) technique for phonetic classification. CS is often used to characterize a signal from a few support training...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
This paper introduces a new problem for which machine-learning tools may make an impact. The problem considered is termed "compressive sensing", in which a real signal o...
ICASSP
2009
IEEE
13 years 11 months ago
2009
IEEE
In this paper we model the components of the compressive sensing (CS) problem using the Bayesian framework by utilizing a hierarchical form of the Laplace prior to model sparsity ...
CORR
2008
Springer
13 years 4 months ago
2008
Springer
Compressive sensing (CS) is an emerging field based on the revelation that a small collection of linear projections of a sparse signal contains enough information for stable, sub-N...
TSP
2008
13 years 4 months ago
2008
The data of interest are assumed to be represented as N-dimensional real vectors, and these vectors are compressible in some linear basis B, implying that the signal can be recons...