DocumentCode :
15929
Title :
An Expectation Propagation Perspective on Approximate Message Passing
Author :
Xiangming Meng ; Sheng Wu ; Linling Kuang ; Jianhua Lu
Author_Institution :
Dept. of Electron. Eng., Tsinghua Univ., Beijing, China
Volume :
22
Issue :
8
fYear :
2015
fDate :
Aug. 2015
Firstpage :
1194
Lastpage :
1197
Abstract :
An alternative derivation for the well-known approximate message passing (AMP) algorithm proposed by Donoho is presented in this letter. Compared with the original derivation, which exploits central limit theorem and Taylor expansion to simplify belief propagation (BP), our derivation resorts to expectation propagation (EP) and the neglect of high-order terms in large system limit. This alternative derivation leads to a different yet provably equivalent form of message passing, which explicitly establishes the intrinsic connection between AMP and EP, thereby offering some new insights in the understanding and improvement of AMP.
Keywords :
approximation theory; compressed sensing; expectation-maximisation algorithm; message passing; AMP; Taylor expansion; approximate message passing; belief propagation; central limit theorem; expectation propagation perspective; intrinsic connection; Approximation algorithms; Density functional theory; Message passing; Minimization; Random variables; Signal processing algorithms; Taylor series; Approximate message passing; compressed sensing; expectation propagation; linear mixing;
fLanguage :
English
Journal_Title :
Signal Processing Letters, IEEE
Publisher :
ieee
ISSN :
1070-9908
Type :
jour
DOI :
10.1109/LSP.2015.2391287
Filename :
7008468
Link To Document :
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