DocumentCode :
2946129
Title :
Ensemble Analysis on Syndrome Entropy of Binary Linear Codes
Author :
Wadayama, Tadashi
Author_Institution :
Graduate Sch. of Eng., Nagoya Inst. of Technol.
fYear :
2006
fDate :
9-14 July 2006
Firstpage :
1559
Lastpage :
1563
Abstract :
Syndrome entropy of a binary linear code is the entropy corresponding to a product of a binary m times n matrix and a vector of length n generated from a binary i.i.d. source. In this paper, we investigate the syndrome entropy of a matrix contained in an ensemble of m times n binary matrices such as constant row weight ensembles. In the analysis, the first and the second moment of the coset weight distribution of an ensemble play a crucial role
Keywords :
binary codes; linear codes; matrix algebra; vectors; binary linear codes; binary matrices; constant row weight ensembles; coset weight distribution; ensemble analysis; syndrome entropy; vector; Computer simulation; Distributed computing; Entropy; Linear code; Maximum likelihood decoding; Parity check codes; Random variables; Symmetric matrices; Upper bound; Vectors;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Theory, 2006 IEEE International Symposium on
Conference_Location :
Seattle, WA
Print_ISBN :
1-4244-0505-X
Electronic_ISBN :
1-4244-0504-1
Type :
conf
DOI :
10.1109/ISIT.2006.262130
Filename :
4036229
Link To Document :
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