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