NDLI: MAP decoding for LDPC codes over the binary erasure channel

Content Provider	IEEE Xplore Digital Library
Author	Salamanca, L. Olmos, P.M. Murillo-Fuentes, J.J. Perez-Cruz, F.
Copyright Year	2011
Description	Author affiliation: Departamento de Teoría de la Señal y Comunicaciones., Universidad de Sevilla (Salamanca, L.; Olmos, P.M.; Murillo-Fuentes, J.J.) \|\| Department of signal Theory and Communications, University Carlos III in Madrid (Perez-Cruz, F.)
Abstract	In this paper, we propose a decoding algorithm for LDPC codes that achieves the MAP solution over the BEC. This algorithm, denoted as generalized tree-structured expectation propagation (GTEP), extends the idea of our previous work, the TEP decoder. The GTEP modifies the graph by eliminating a check node of any degree and merging this information with the remaining graph. The GTEP decoder upon completion either provides the unique MAP solution or a tree graph in which the number of parent nodes indicates the multiplicity of the MAP solution. This algorithm can be easily described for the BEC, and it can be cast as a generalized peeling decoder. The GTEP naturally optimizes the complexity of the decoder, by looking for checks nodes of minimum degree to be eliminated first.
Starting Page	145
Ending Page	149
File Size	986746
Page Count	5
File Format	PDF
ISBN	9781457704383
e-ISBN	9781457704376
DOI	10.1109/ITW.2011.6089364
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2011-10-16
Publisher Place	Brazil
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Decoding Tree graphs Computational complexity Iterative decoding graphical models MAP decoding LDPC codes tree-structured expectation propagation
Content Type	Text
Resource Type	Article

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