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Minimization of transformed \(L_1\) penalty: theory, difference of convex function algorithm, and robust application in compressed sensing - MaRDI portal

Minimization of transformed \(L_1\) penalty: theory, difference of convex function algorithm, and robust application in compressed sensing (Q1749455)

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Minimization of transformed \(L_1\) penalty: theory, difference of convex function algorithm, and robust application in compressed sensing
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    Minimization of transformed \(L_1\) penalty: theory, difference of convex function algorithm, and robust application in compressed sensing (English)
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    16 May 2018
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    transformed \(l_1\) penalty
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    sparse signal recovery theory
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    difference of convex function algorithm
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    convergence analysis
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    coherent random matrices
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    compressed sensing
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    robust recovery
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