Linear convergence of adaptively iterative thresholding algorithms for compressed sensing

DOI10.1109/TSP.2015.2412915zbMath1394.94632arXiv1408.6890OpenAlexW2114503967MaRDI QIDQ4580608

Jinshan Zeng, Yu Wang, Zhimin Peng, Xiang Yu Chang, Zong Ben Xu

Publication date: 22 August 2018

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

Full work available at URL: https://arxiv.org/abs/1408.6890

Mathematics Subject Classification ID

Signal theory (characterization, reconstruction, filtering, etc.) (94A12)

Related Items (7)

Inertial alternating direction method of multipliers for non-convex non-smooth optimization ⋮ Nonlinear Iterative Hard Thresholding for Inverse Scattering ⋮ Analysis sparse representation for nonnegative signals based on determinant measure by DC programming ⋮ Global convergence of ADMM in nonconvex nonsmooth optimization ⋮ GAITA: a Gauss-Seidel iterative thresholding algorithm for \(\ell_q\) regularized least squares regression ⋮ Computational approaches to non-convex, sparsity-inducing multi-penalty regularization ⋮ Structured iterative hard thresholding with on- and off-grid applications

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