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ICASSP
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Signal Processing
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ICASSP 2008
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Iteratively reweighted algorithms for compressive sensing
14 years 5 months ago
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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 shown empirically that using p minimization with p < 1 can
Rick Chartrand, Wotao Yin
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Compressive Sensing
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ICASSP 2008
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Signal Processing
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Sparse Signals
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Added
30 May 2010
Updated
30 May 2010
Type
Conference
Year
2008
Where
ICASSP
Authors
Rick Chartrand, Wotao Yin
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Researcher Info
Signal Processing Study Group
Computer Vision