On weighting/reweighting schemes for approximate message passing algorithms

In this paper, we propose a number of weighting/reweighting schemes to improve the performance of the so-called approximate message passing (AMP) algorithm of Donoho et al. We consider the application of AMP for the recovery of sparse signals from an under-determined system of linear equations, and...

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Vydané v:IEEE International Conference on Communications (2003) s. 1 - 5
Hlavní autori: Zeinalkhani, Zeinab, Haghighatpanah, Neda, Banihashemi, Amir H.
Médium: Konferenčný príspevok.. Journal Article
Jazyk:English
Vydavateľské údaje: IEEE 01.05.2016
Predmet:
Algorithms
approximate message passing algorithm
Approximation
Approximation algorithms
Block sparsity
Borders
Compressed sensing
Conferences
Message passing
Minimization
Noise measurement
Performance enhancement
Recovery
Signal processing algorithms
Simulation
Weighting
ISSN:1938-1883
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Abstract In this paper, we propose a number of weighting/reweighting schemes to improve the performance of the so-called approximate message passing (AMP) algorithm of Donoho et al. We consider the application of AMP for the recovery of sparse signals from an under-determined system of linear equations, and variants of AMP for the recovery of block sparse signals. The proposed schemes for block sparse signals cover both cases of known and unknown block borders. Simulation results, both in noiseless and noisy scenarios, show significant performance improvement over the standard AMP algorithm and a considerably better performance/complexity trade-off compared to other state-of-the-art recovery algorithms.
AbstractList In this paper, we propose a number of weighting/reweighting schemes to improve the performance of the so-called approximate message passing (AMP) algorithm of Donoho et al. We consider the application of AMP for the recovery of sparse signals from an under-determined system of linear equations, and variants of AMP for the recovery of block sparse signals. The proposed schemes for block sparse signals cover both cases of known and unknown block borders. Simulation results, both in noiseless and noisy scenarios, show significant performance improvement over the standard AMP algorithm and a considerably better performance/complexity trade-off compared to other state-of-the-art recovery algorithms.
Author Banihashemi, Amir H.
Zeinalkhani, Zeinab
Haghighatpanah, Neda
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  givenname: Amir H.
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  organization: Dept. of Syst. & Comput. Eng., Carleton Univ., Ottawa, ON, Canada
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SubjectTerms Algorithms
approximate message passing algorithm
Approximation
Approximation algorithms
Block sparsity
Borders
Compressed sensing
Conferences
Message passing
Minimization
Noise measurement
Performance enhancement
Recovery
Signal processing algorithms
Simulation
Weighting
Title On weighting/reweighting schemes for approximate message passing algorithms
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