DocumentCode :
1453304
Title :
Codes on Graphs: Duality and MacWilliams Identities
Author :
Forney, G. David, Jr.
Author_Institution :
Lab. for Inf. & Decision Syst., Massachusetts Inst. of Technol., Cambridge, MA, USA
Volume :
57
Issue :
3
fYear :
2011
fDate :
3/1/2011 12:00:00 AM
Firstpage :
1382
Lastpage :
1397
Abstract :
A conceptual framework involving partition functions of normal factor graphs is introduced, paralleling a similar recent development by Al-Bashabsheh and Mao. The partition functions of dual normal factor graphs are shown to be a Fourier transform pair, whether or not the graphs have cycles. The original normal graph duality theorem follows as a corollary. Within this framework, MacWilliams identities are found for various local and global weight generating functions of general group or linear codes on graphs; this generalizes and provides a concise proof of the MacWilliams identity for linear time-invariant convolutional codes that was recently found by Gluesing-Luerssen and Schneider. Further MacWilliams identities are developed for terminated convolutional codes, particularly for tail-biting codes, similar to those studied recently by Bocharova, Hug, Johannesson, and Kudryashov.
Keywords :
Fourier transforms; convolutional codes; duality (mathematics); graph theory; linear codes; Fourier transform; MacWilliams identities; dual normal factor graphs; duality; linear time-invariant convolutional codes; tail-biting codes; Convolutional codes; Fourier transforms; Graphical models; Hamming weight; Indexes; Linear code; Vectors; Codes on graphs; MacWilliams identities; normal factor graphs; partition functions;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2011.2104994
Filename :
5715623
Link To Document :
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