53 search results - page 3 / 11 » Noise Folding in Compressed Sensing |
ICASSP
2011
IEEE
12 years 11 months ago
2011
IEEE
This paper introduces a new algorithm for reconstructing signals with sparse spectrums from noisy compressive measurements. The proposed model-based algorithm takes the signal str...
ICIP
2009
IEEE
14 years 8 months ago
2009
IEEE
In this paper, following the Compressed Sensing (CS) paradigm, we study the problem of recovering sparse or compressible signals from uniformly quantized measurements. We present ...
ICASSP
2010
IEEE
13 years 7 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...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Abstract--We apply Guo and Wang's relaxed belief propagation (BP) method to the estimation of a random vector from linear measurements followed by a componentwise probabilisti...
JDCTA
2010
13 years 2 months ago
2010
Without reconstructing the signal themselves, signal detection could be solved by detection algorithm, which directly processes sampling value obtained from compressive sensing si...