On the Constrained Minimal Singular Values for Sparse Signal Recovery

Abstract

The l1 -constrained minimal singular value (l1-CMSV) of the sensing matrix for sparse signal recovery is investigated in this letter. By exploiting certain geometrical properties of the (l_1-CMSV), we derive new sufficient conditions for the recovery of both exactly and approximately sparse signals. Moreover, we demonstrate that a class of structured random… (More)
DOI: 10.1109/LSP.2012.2203802

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