Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing
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Title
Minimization of transformed L1 penalty: theory, difference of convex function algorithm, and robust application in compressed sensing
Authors
Keywords
Transformed <span class=InlineEquation id=IEq18>(l_1), Sparse signal recovery theory, Difference of convex function algorithm, Convergence analysis, Coherent random matrices, Compressed sensing, Robust recovery, 90C26, 65K10, 90C90
Journal
MATHEMATICAL PROGRAMMING
Volume 169, Issue 1, Pages 307-336
Publisher
Springer Nature
Online
2018-03-05
DOI
10.1007/s10107-018-1236-x
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