25 search results - page 2 / 5 » Bayesian compressive sensing and projection optimization |
136
Voted
ICUMT
2009
14 years 11 months ago
2009
Abstract--In this paper we address the task of accurately reconstructing a distributed signal through the collection of a small number of samples at a data gathering point using Co...
137
Voted
TIP
2010
14 years 11 months ago
2010
In this paper we model the components of the compressive sensing (CS) problem, i.e., the signal acquisition process, the unknown signal coefficients and the model parameters for ...
93
Voted
TSP
2008
15 years 1 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...
120
Voted
DCC
2011
IEEE
14 years 8 months ago
2011
IEEE
The compressed-sensing recovery of video sequences driven by multihypothesis predictions is considered. Specifically, multihypothesis predictions of the current frame are used to...
132
Voted
IPSN
2009
Springer
15 years 8 months ago
2009
Springer
This paper exploits recent developments in sparse approximation and compressive sensing to efficiently perform localization in a sensor network. We introduce a Bayesian framework...