• DocumentCode
    1305822
  • Title

    The generalized distributive law

  • Author

    Aji, Srinivas M. ; Mceliece, Robert J.

  • Author_Institution
    Dept. of Electr. Eng., California Inst. of Technol., Pasadena, CA, USA
  • Volume
    46
  • Issue
    2
  • fYear
    2000
  • fDate
    3/1/2000 12:00:00 AM
  • Firstpage
    325
  • Lastpage
    343
  • Abstract
    We discuss a general message passing algorithm, which we call the generalized distributive law (GDL). The GDL is a synthesis of the work of many authors in information theory, digital communications, signal processing, statistics, and artificial intelligence. It includes as special cases the Baum-Welch algorithm, the fast Fourier transform (FFT) on any finite Abelian group, the Gallager-Tanner-Wiberg decoding algorithm, Viterbi´s algorithm, the BCJR algorithm, Pearl´s “belief propagation” algorithm, the Shafer-Shenoy probability propagation algorithm, and the turbo decoding algorithm. Although this algorithm is guaranteed to give exact answers only in certain cases (the “junction tree” condition), unfortunately not including the cases of GTW with cycles or turbo decoding, there is much experimental evidence, and a few theorems, suggesting that it often works approximately even when it is not supposed to
  • Keywords
    decoding; graph theory; message passing; turbo codes; BCJR algorithm; Baum-Welch algorithm; FFT; GDL; Gallager-Tanner-Wiberg decoding algorithm; Pearl belief propagation algorithm; Shafer-Shenoy probability propagation algorithm; Viterbi algorithm; fast Fourier transform; finite Abelian group; general message passing algorithm; generalized distributive law; junction tree condition; turbo decoding; Artificial intelligence; Decoding; Digital communication; Digital signal processing; Fast Fourier transforms; Information theory; Message passing; Signal processing algorithms; Signal synthesis; Statistical distributions;
  • fLanguage
    English
  • Journal_Title
    Information Theory, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0018-9448
  • Type

    jour

  • DOI
    10.1109/18.825794
  • Filename
    825794