Pseudo-codeword Landscape

dc.creatorChertkov, Michael
dc.creatorStepanov, Mikhail
dc.date2007-01-12
dc.date2007-04-22
dc.date.accessioned2026-07-07T08:16:57Z
dc.date.available2026-07-07T08:16:57Z
dc.descriptionWe discuss the performance of Low-Density-Parity-Check (LDPC) codes decoded by means of Linear Programming (LP) at moderate and large Signal-to-Noise-Ratios (SNR). Utilizing a combination of the previously introduced pseudo-codeword-search method and a new "dendro" trick, which allows us to reduce the complexity of the LP decoding, we analyze the dependence of the Frame-Error-Rate (FER) on the SNR. Under Maximum-A-Posteriori (MAP) decoding the dendro-code, having only checks with connectivity degree three, performs identically to its original code with high-connectivity checks. For a number of popular LDPC codes performing over the Additive-White-Gaussian-Noise (AWGN) channel we found that either an error-floor sets at a relatively low SNR, or otherwise a transient asymptote, characterized by a faster decay of FER with the SNR increase, precedes the error-floor asymptote. We explain these regimes in terms of the pseudo-codeword spectra of the codes.
dc.description5 pages, 2 figures, proceedings of ISIT '07
dc.identifierhttps://arxiv.org/abs/cs/0701084
dc.identifierhttp://arxiv.org/abs/cs/0701084
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/133970
dc.subjectInformation Theory
dc.subjectStatistical Mechanics
dc.titlePseudo-codeword Landscape
dc.typetext

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