Block sparse vector recovery for compressive sensing via ℓ1−αℓq$\ell _1-\alpha \ell _q$‐minimization Model
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DOI: 10.1049/ell2.13081
Abstract: This paper solves the problem of block sparse vector recovery using the block ‐minimization model. Based on the block restricted isometry property (B‐RIP) condition, exact block sparse vector recovery result is obtained. The theoretical bound… read more here.
Keywords: block sparse; minimization model; vector recovery; block ... See more keywords