Sparse Signal Recovery via Generalized Entropy Functions Minimization

DOI10.1109/TSP.2018.2889951zbMath1415.94132arXiv1703.10556WikidataQ128564116 ScholiaQ128564116MaRDI QIDQ4628288

Shuai Huang, T. Tran

Publication date: 6 March 2019

Published in: IEEE Transactions on Signal Processing (Search for Journal in Brave)

Full work available at URL: https://arxiv.org/abs/1703.10556

Mathematics Subject Classification ID

Applications of mathematical programming (90C90) Nonconvex programming, global optimization (90C26) Signal theory (characterization, reconstruction, filtering, etc.) (94A12) Measures of information, entropy (94A17)

Related Items (3)

Block sparse signal recovery via minimizing the block \(q\)-ratio sparsity ⋮ A reweighted symmetric smoothed function approximating \(L_0\)-norm regularized sparse reconstruction method ⋮ A convex relaxation framework consisting of a primal-dual alternative algorithm for solving \(\ell_0\) sparsity-induced optimization problems with application to signal recovery based image restoration

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