A linearly convergent self-adaptive gradient projection algorithm for sparse signal reconstruction in compressive sensing

For sparse signal reconstruction (SSR) problem in compressive sensing (CS), by the splitting technique, we first transform it into a continuously differentiable convex optimization problem, and then a new self-adaptive gradient projection algorithm is proposed to solve the SSR problem, which has fas...

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Bibliographic Details

Published in:	AIMS mathematics Vol. 8; no. 6; pp. 14726 - 14746
Main Authors:	Wang, Hengdi, Du, Jiakang, Su, Honglei, Sun, Hongchun
Format:	Journal Article
Language:	English
Published:	AIMS Press 01.01.2023
Subjects:	global convergence global r-linear convergence rate self-adaptive gradient projection algorithm ssr problem
ISSN:	2473-6988, 2473-6988
Online Access:	Get full text
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