Codes on Graphs: Duality and MacWilliams Identities

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 ori...

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Main Author: Forney, G. David, Jr.
Other Authors: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Format: Article
Language:en_US
Published: Institute of Electrical and Electronics Engineers (IEEE) 2012
Online Access:http://hdl.handle.net/1721.1/72571
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author Forney, G. David, Jr.
author2 Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
author_facet Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
Forney, G. David, Jr.
author_sort Forney, G. David, Jr.
collection MIT
description 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.
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spelling mit-1721.1/725712022-09-30T18:45:04Z Codes on Graphs: Duality and MacWilliams Identities Forney, G. David, Jr. Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science Forney, G. David, Jr. Forney, G. David, Jr. 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. 2012-09-07T17:46:08Z 2012-09-07T17:46:08Z 2011-02 2010-11 Article http://purl.org/eprint/type/JournalArticle 0018-9448 http://hdl.handle.net/1721.1/72571 Forney, G. David. “Codes on Graphs: Duality and MacWilliams Identities.” IEEE Transactions on Information Theory 57.3 (2011): 1382–1397. en_US http://dx.doi.org/10.1109/tit.2011.2104994 IEEE Transactions on Information Theory Creative Commons Attribution-Noncommercial-Share Alike 3.0 http://creativecommons.org/licenses/by-nc-sa/3.0/ application/pdf Institute of Electrical and Electronics Engineers (IEEE) arXiv
spellingShingle Forney, G. David, Jr.
Codes on Graphs: Duality and MacWilliams Identities
title Codes on Graphs: Duality and MacWilliams Identities
title_full Codes on Graphs: Duality and MacWilliams Identities
title_fullStr Codes on Graphs: Duality and MacWilliams Identities
title_full_unstemmed Codes on Graphs: Duality and MacWilliams Identities
title_short Codes on Graphs: Duality and MacWilliams Identities
title_sort codes on graphs duality and macwilliams identities
url http://hdl.handle.net/1721.1/72571
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