Proceedings Paper
Weighted and reweighted approximate message passing| Format | Member Price | Non-Member Price |
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Paper Abstract
In this paper we derive weighted and reweighted AMP algorithms for signal reconstruction from compressed sensing measurements. Weighted AMP incorporates prior support information into the AMP algorithm and iteratively solves the weighted I1 minimization which is much faster than the usual linear programming algorithms used to solve this problem. We also introduce a reweighting scheme for regular and weighted AMP algorithms which enhances the recovery performance of both regular and weighted AMP while still maintaining the low complexity nature of AMP algorithms.
Paper Details
Date Published: 26 September 2013
PDF: 14 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 88580C (26 September 2013); doi: 10.1117/12.2027069
Published in SPIE Proceedings Vol. 8858:
Wavelets and Sparsity XV
Dimitri Van De Ville; Vivek K. Goyal; Manos Papadakis, Editor(s)
PDF: 14 pages
Proc. SPIE 8858, Wavelets and Sparsity XV, 88580C (26 September 2013); doi: 10.1117/12.2027069
Show Author Affiliations
Navid Ghadermarzy, Univ. of British Columbia (Canada)
Ozgur Yilmaz, The Univ. of British Columbia (Canada)
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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