LOW-RANK AND SPARSE MATRIX RECOVERY FROM NOISY OBSERVATIONS VIA 3-BLOCK ADMM ALGORITHM

DOI10.11948/20190182zbMath1460.94016OpenAlexW3023032622MaRDI QIDQ5858029

ShengWu Xiong, Xiaobo Yang, Chengde Lin, Peng Wang

Publication date: 9 April 2021

Published in: Journal of Applied Analysis & Computation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.11948/20190182

zbMATH Keywords

sparselow-ranknuclear norm minimization\( \ell_1\)-norm minimization3-block alternating direction method

Mathematics Subject Classification ID

Image processing (compression, reconstruction, etc.) in information and communication theory (94A08) Matrices of integers (15B36)

Related Items (1)

A novel robust principal component analysis algorithm of nonconvex rank approximation

Cites Work

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