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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מחבר ראשי: Forney, G. David, Jr.
מחברים אחרים: Massachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
פורמט: Article
שפה:en_US
יצא לאור: Institute of Electrical and Electronics Engineers (IEEE) 2012
גישה מקוונת:http://hdl.handle.net/1721.1/72571
תיאור
סיכום: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.