• 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