Paper
26 September 2013 Weighted and reweighted approximate message passing
Navid Ghadermarzy, Ozgur Yilmaz
Author Affiliations +
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.
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Navid Ghadermarzy and Ozgur Yilmaz "Weighted and reweighted approximate message passing", Proc. SPIE 8858, Wavelets and Sparsity XV, 88580C (26 September 2013); https://doi.org/10.1117/12.2027069
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Amplifiers

Signal to noise ratio

Reconstruction algorithms

Algorithm development

Radon

Information technology

Compressed sensing

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