555 search results - page 33 / 111 » Bayesian Compressive Sensing |
CORR
2011
Springer
13 years 2 months ago
2011
Springer
The Compressive Sensing (CS) framework aims to ease the burden on analog-to-digital converters (ADCs) by reducing the sampling rate required to acquire and stably recover sparse s...
CORR
2011
Springer
13 years 2 months ago
2011
Springer
Compressive sensing (CS) exploits the sparsity present in many common signals to reduce the number of measurements needed for digital acquisition. With this reduction would come, ...
ICIP
2003
IEEE
14 years 9 months ago
2003
IEEE
We consider the sensor broadcast problem: in our setup, sensors measure each one pixel of an image that unfolds over a field, and broadcast a rate constrained encoding of their me...
DCC
2011
IEEE
13 years 2 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...
ICASSP
2008
IEEE
14 years 2 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...