Analysis of low density codes and improved designs using irregular graphs
STOC '98 Proceedings of the thirtieth annual ACM symposium on Theory of computing
Trellis and Turbo Coding
Complex-network modeling of a call network
IEEE Transactions on Circuits and Systems Part I: Regular Papers
The capacity of low-density parity-check codes under message-passing decoding
IEEE Transactions on Information Theory
Regular and irregular progressive edge-growth tanner graphs
IEEE Transactions on Information Theory
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Channel coding provides error-correction capability at the receiving end by adding redundant information (bits) to every block of data in the transmission. In this article, we describe how some results from complex networks can be applied to channel coding for communications. In particular, we explain how the average-path-length characteristic of complex networks can be used to help design low-density parity-check (LDPC) codes of very good error-correction capabilities, one of the most important problems in channel coding under hot pursuit.