New regularization method and iteratively reweighted algorithm for sparse vector recovery
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DOI: 10.1007/s10483-020-2561-6
Abstract: Motivated by the study of regularization for sparse problems, we propose a new regularization method for sparse vector recovery. We derive sufficient conditions on the well-posedness of the new regularization, and design an iterative algorithm,… read more here.
Keywords: regularization method; vector recovery; sparse vector; new regularization ... See more keywords
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