488 search results - page 24 / 98 » Blind Compressed Sensing |
126
Voted
ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
When sampling signals below the Nyquist rate, efficient and accurate reconstruction is nevertheless possible, whenever the sampling system is well behaved and the signal is well ...
121
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ICASSP
2009
IEEE
15 years 10 months ago
2009
IEEE
This paper studies the feasibility and investigates various choices in the application of compressive sensing (CS) to object-based surveillance video coding. The residual object e...
123
Voted
ICASSP
2009
IEEE
15 years 10 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 ...
148
Voted
MOBILWARE
2009
ACM
15 years 10 months ago
2009
ACM
Sub-Nyquist sampling techniques for Wireless Sensor Networks (WSN) are gaining increasing attention as an alternative method to capture natural events with desired quality while mi...
147
Voted
ICASSP
2010
IEEE
15 years 3 months ago
2010
IEEE
This paper develops a new class of algorithms for signal recovery in the distributed compressive sensing (DCS) framework. DCS exploits both intra-signal and inter-signal correlati...