A gradient projection method for the sparse signal reconstruction in compressive sensing
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Publication:5375935
DOI10.1080/00036811.2017.1359556zbMath1395.90227OpenAlexW2740813530WikidataQ58289563 ScholiaQ58289563MaRDI QIDQ5375935
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Publication date: 17 September 2018
Published in: Applicable Analysis (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/00036811.2017.1359556
Related Items (7)
A globally convergent projection method for a system of nonlinear monotone equations ⋮ A new family of hybrid three-term conjugate gradient methods with applications in image restoration ⋮ An efficient projection-based algorithm without Lipschitz continuity for large-scale nonlinear pseudo-monotone equations ⋮ A self-adaptive projection method for nonlinear monotone equations with convex constraints ⋮ A Barzilai-Borwein gradient projection method for sparse signal and blurred image restoration ⋮ A derivative-free \textit{RMIL} conjugate gradient projection method for convex constrained nonlinear monotone equations with applications in compressive sensing ⋮ A diagonal PRP-type projection method for convex constrained nonlinear monotone equations
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