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Proceedings Paper

An accelerated random coordinate descent algorithm for compressed sensing
Author(s): Dongfang Chen; Ningtao Zhang
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Paper Abstract

This paper introduces a new accelerated random coordinate descent algorithm for solving problems in the field of compressive sensing, and more generally, in the field of signal and image reconstruction from indirect or incomplete measurements. This algorithm is inspired by recent progress in convex optimization development of coordinate descent. Our method is very efficient for solving compressive sensing data recovery problems. Numerical experiments show the performance of our algorithm to solve high-dimensional optimization problems.

Paper Details

Date Published: 1 October 2011
PDF: 7 pages
Proc. SPIE 8285, International Conference on Graphic and Image Processing (ICGIP 2011), 82856O (1 October 2011); doi: 10.1117/12.913495
Show Author Affiliations
Dongfang Chen, Wuhan Univ. of Science and Technology (China)
Ningtao Zhang, Wuhan Univ. of Science and Technology (China)


Published in SPIE Proceedings Vol. 8285:
International Conference on Graphic and Image Processing (ICGIP 2011)
Yi Xie; Yanjun Zheng, Editor(s)

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