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Novel Algorithm for Sparse Solutions to Linear Inverse Problems with Multiple Measurements

Author(s) : Li, Lianlin , Li, Fang
Description : In this report, a novel efficient algorithm for recovery of jointly sparse signals (sparse matrix) from multiple incomplete measurements has been presented, in particular, the NESTA-based MMV optimization method. In a nutshell, the jointly sparse recovery is obviously superior to applying standard...
Language(s) : Undetermined
Subject(s) : Computer Science - Information Theory
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Publication Date(s) : 2009-05-20