IEEE Transactions on Information Theory - Part 1
Design of capacity-approaching irregular low-density parity-check codes
IEEE Transactions on Information Theory
Minimum-distance bounds by graph analysis
IEEE Transactions on Information Theory
Finite-length analysis of low-density parity-check codes on the binary erasure channel
IEEE Transactions on Information Theory
Using linear programming to Decode Binary linear codes
IEEE Transactions on Information Theory
Pseudocodewords of Tanner Graphs
IEEE Transactions on Information Theory
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Two different ways of obtaining generalised low-density parity-check (LDPC) codes are considered. Lower bounds on the minimum distance, stopping distance and pseudodistance are derived for these codes using graph-based analysis. These bounds are generalisations of Tanner's bit- and parity-oriented bound for simple (LDPC) codes. The new bounds are useful in predicting the performance of generalised LDPC codes under maximum-likelihood decoding, graph-based iterative decoding and linear programming decoding, and rely on the connectivity of the Tanner graph.