Proceedings Paper
Fast null space tuning algorithms with feedbacks for sparse signal recovery| Format | Member Price | Non-Member Price |
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Paper Abstract
We provide a framework of fast iterative algorithms based on null space tuning, thresholding, and feedbacks for signal recovery in sparse representation and compressed sensing. Convergence results are provided. Numerical studies about the effectiveness and the speed of the algorithms are also presented. The algorithms are seen as particularly effective for large scale problems.
Paper Details
Date Published: 26 September 2013
PDF: 9 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 88581S (26 September 2013); doi: 10.1117/12.2024819
Published in SPIE Proceedings Vol. 8858:
Wavelets and Sparsity XV
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)
PDF: 9 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 88581S (26 September 2013); doi: 10.1117/12.2024819
Show Author Affiliations
Tiebin Mi, Renmin Univ. of China (China)
Shidong Li, San Francisco State Univ. (United States)
Renmin Univ. of China (China)
Renmin Univ. of China (China)
Published in SPIE Proceedings Vol. 8858:
Wavelets and Sparsity XV
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)
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