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A New Reweighted Algorithm With Support Detection for Compressed Sensing
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DOI：10.1109/LSP.2012.2198641.png)
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We propose a new iterative reweighted algorithm with iterative support detection (referred to as RISD) to improve the decoding performance for compressed sensing (CS). The support detection from previous iterations can be interpreted as extracting prior information that allows for different reweighting strategies within and without the detected support. The proposed RISD method achieves better sparsity-measurement tradeoff than both classical L-1 algorithms and iteratively reweighted algorithms.
Keyword:
Compressed sensing
imaging
reweighted algorithm
support detection
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9.6
论文数:
1.1W
被引数:
1.7W
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