DocumentCode
2516037
Title
Conditional entropy of non-binary LDPC codes over the BEC
Author
Rathi, Vishwambhar
Author_Institution
Sch. of Comput. & Commun. Sci., EPFL, Zurich
fYear
2008
fDate
6-11 July 2008
Firstpage
945
Lastpage
949
Abstract
We consider transmission over the binary erasure channel (BEC) using non-binary LDPC codes. We generalize the concept of stopping sets to non-binary LDPC codes. We give a combinatorial characterization of decoding failures for non-binary LDPC codes decoded via Belief Propagation (BP). Using the density evolution analysis, we compute the asymptotic residual degree distribution for non-binary LDPC codes. In order to show that asymptotically almost every code in the non-binary LDPC ensemble has a rate equal to the design rate, we generalize the arguments of Measson, Montanari, and Urbanke to the non-binary setting. This generalization enables us to compute the conditional entropy of non-binary LDPC codes. We observe that the Maxwell construction of Measson, Montanari, and Urbanke relating the performance of MAP and BP decoding, holds in the setting of non-binary LDPC codes.
Keywords
entropy codes; parity check codes; Maxwell construction; asymptotic residual degree distribution; belief propagation; binary erasure channel; combinatorial characterization; conditional entropy; decoding failure; density evolution analysis; nonbinary LDPC codes; Belief propagation; Distributed computing; Entropy; Iterative decoding; Parity check codes; Performance analysis; Probability distribution; Upper bound;
fLanguage
English
Publisher
ieee
Conference_Titel
Information Theory, 2008. ISIT 2008. IEEE International Symposium on
Conference_Location
Toronto, ON
Print_ISBN
978-1-4244-2256-2
Electronic_ISBN
978-1-4244-2257-9
Type
conf
DOI
10.1109/ISIT.2008.4595126
Filename
4595126
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