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A Novel Algorithm for Compressive Sensing: Iteratively Reweighed Operator Algorithm (IROA)

Author(s) : Li, Lianlin , Li, Fang
Description : Compressive sensing claims that the sparse signals can be reconstructed exactly from many fewer measurements than traditionally believed necessary. One of issues ensuring the successful compressive sensing is to deal with the sparsity-constraint optimization. Up to now, many excellent theories, al...
Repository : arXiv , View repository documents
Language(s) : Undetermined
Subject(s) : Computer Science - Information Theory
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Publication Date(s) : 2009-03-28