Computer Science – Information Theory
Scientific paper
2005-02-06
Computer Science
Information Theory
Presented at Information Theory Workshop (ITW), San Antonio, TX, 2004
Scientific paper
Cycle codes are a special case of low-density parity-check (LDPC) codes and as such can be decoded using an iterative message-passing decoding algorithm on the associated Tanner graph. The existence of pseudo-codewords is known to cause the decoding algorithm to fail in certain instances. In this paper, we draw a connection between pseudo-codewords of cycle codes and the so-called edge zeta function of the associated normal graph and show how the Newton polyhedron of the zeta function equals the fundamental cone of the code, which plays a crucial role in characterizing the performance of iterative decoding algorithms.
Koetter Ralf
Li Wen-Ching W.
Vontobel Pascal O.
Walker Judy L.
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