Computer Science – Information Theory
Scientific paper
2010-04-21
IEEE, Trans. Inform. Theory, volume 57(7), Pages 4401 - 4416, 2011
Computer Science
Information Theory
31 pages, 10 figures
Scientific paper
10.1109/TIT.2011.2146490
In this article, new regular incidence structures are presented. They arise from sets of conics in the affine plane blown-up at its rational points. The LDPC codes given by these incidence matrices are studied. These sparse incidence matrices turn out to be redundant, which means that their number of rows exceeds their rank. Such a feature is absent from random LDPC codes and is in general interesting for the efficiency of iterative decoding. The performance of some codes under iterative decoding is tested. Some of them turn out to perform better than regular Gallager codes having similar rate and row weight.
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