Density Evolution for the Design of Non-Binary Low Density Parity Check Codes for Slepian-Wolf Coding

In this paper, we investigate the problem of designing good non-binary LDPC codes for Slepian-Wolf coding. The design method is based on Density Evolution which gives the asymptotic error probability of the decoder for given code degree distributions. Density Evolution was originally introduced for...

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Veröffentlicht in:	IEEE transactions on communications Jg. 63; H. 1; S. 25 - 36
Hauptverfasser:	Dupraz, Elsa, Savin, Valentin, Kieffer, Michel
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.01.2015 The Institute of Electrical and Electronics Engineers, Inc. (IEEE) Institute of Electrical and Electronics Engineers
Schlagworte:	Asymptotic properties Channel coding Channels Coding Computer Science Decoding Degree distribution optimization Density Density Evolution Error correcting codes Evolution Gain Information Theory LDPC codes Mathematics Optimization Parity check codes Random variables Recursion Signal and Image Processing Source coding with side information Transforms Vectors Source coding with side information degree distribution optimization LDPC codes density evolution
ISSN:	0090-6778, 1558-0857
Online-Zugang:	Volltext
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