DocumentCode :
1311844
Title :
Second-Order Weight Distributions
Author :
Yang, Shengtian
Author_Institution :
Zhengyuan Xiaoqu, Hangzhou, China
Volume :
57
Issue :
9
fYear :
2011
Firstpage :
6068
Lastpage :
6077
Abstract :
A fundamental property of codes, the second-order weight distribution, is proposed to solve the problems such as computing second moments of weight distributions of linear code ensembles. A series of results, parallel to those for weight distributions, is established for second-order weight distributions. In particular, an analogue of MacWilliams identities is proved. The second-order weight distributions of regular LDPC code ensembles are then computed. As easy consequences, the second moments of weight distributions of regular LDPC code ensembles are obtained. Furthermore, the application of second-order weight distributions in random coding approach is discussed. The second-order weight distributions of the ensembles generated by a so-called 2-good random generator or parity-check matrix are computed, where a 2-good random matrix is a kind of generalization of the uniformly distributed random matrix over a finite filed and is very useful for solving problems that involve pairwise or triple-wise properties of sequences. It is shown that the 2-good property is reflected in the second-order weight distribution, which thus plays a fundamental role in some well-known problems in coding theory and combinatorics. An example of linear intersecting codes is finally provided to illustrate this fact.
Keywords :
combinatorial mathematics; linear codes; matrix algebra; parity check codes; random codes; MacWilliams identity analogue; finite filed; linear code; pairwise property; parity check matrix; random coding theory; random generator; regular LDPC code; second order weight distribution; triple-wise property; uniformly distributed random matrix; Joints; Linear code; Orbits; Parity check codes; Sparse matrices; Low-density parity-check (LDPC) codes; MacWilliams identities; random linear codes; second moments; weight distributions;
fLanguage :
English
Journal_Title :
Information Theory, IEEE Transactions on
Publisher :
ieee
ISSN :
0018-9448
Type :
jour
DOI :
10.1109/TIT.2011.2162272
Filename :
6006632
Link To Document :
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