Interdisciplinary Information Sciences
Online ISSN : 1347-6157
Print ISSN : 1340-9050
ISSN-L : 1340-9050
Special Issue on Fundamental Structures of Statistical Inference and Its Applications
LDPC Decoding Dynamics from a PCA Viewpoint
Shinpei HARAYuta AKIRAEisuke ISHIIMasato INOUEMasato OKADA
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2007 年 13 巻 1 号 p. 43-48

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Low-density parity-check (LDPC) code has recently become of great interest. The statistical mechanics approach has been used to reveal some characteristics of LDPC in the thermodynamic limit. In this paper, we analyze this system for finite size rather than within the thermodynamic limit through a principal component analysis (PCA) approach. Specifically, both the decoding dynamics of belief propagation (BP) and the phases of the system are visualized and discussed. The result implies that the decoding dynamics roughly corresponds to the system temperature we introduced, and this system has several phases such as ferromagnetic, paramagnetic, and 1RSB spin-glass phases.
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© 2007 by the Graduate School of Information Sciences (GSIS), Tohoku University

This article is licensed under a Creative Commons [Attribution 4.0 International] license.
https://creativecommons.org/licenses/by/4.0/
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