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» Bayesian Compressive Sensing for clustered sparse signals
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CISS
2008
IEEE
13 years 12 months ago
1-Bit compressive sensing
Abstract—Compressive sensing is a new signal acquisition technology with the potential to reduce the number of measurements required to acquire signals that are sparse or compres...
Petros Boufounos, Richard G. Baraniuk
DCC
2007
IEEE
14 years 5 months ago
Quantization of Sparse Representations
Compressive sensing (CS) is a new signal acquisition technique for sparse and compressible signals. Rather than uniformly sampling the signal, CS computes inner products with rand...
Petros Boufounos, Richard G. Baraniuk
CORR
2010
Springer
249views Education» more  CORR 2010»
13 years 5 months ago
Performance Analysis of Spectral Clustering on Compressed, Incomplete and Inaccurate Measurements
Spectral clustering is one of the most widely used techniques for extracting the underlying global structure of a data set. Compressed sensing and matrix completion have emerged a...
Blake Hunter, Thomas Strohmer
ICASSP
2008
IEEE
13 years 12 months ago
Iteratively reweighted algorithms for compressive sensing
The theory of compressive sensing has shown that sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. In [1], it was sho...
Rick Chartrand, Wotao Yin
JDCTA
2010
188views more  JDCTA 2010»
13 years 6 days ago
Compressive Sensing Signal Detection Algorithm Based on Location Information of Sparse Coefficients
Without reconstructing the signal themselves, signal detection could be solved by detection algorithm, which directly processes sampling value obtained from compressive sensing si...
Bing Liu, Ping Fu, Shengwei Meng, Lunping Guo