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
Link To Document :
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