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Source code for approximating the MinDist problem of LDPC codes
- kindly supplied by Xiao-Yu Hu [xhu:-:AT:-:zurich.ibm.com]
This free software is to compute approximately the minimum distance and
the corresponding multiplicity of iteratively decodeable linear codes,
for instance LDPC codes. Recall that the general MinDist problem of
linear codes is NP-hard, the software thus produces an estimate and an
upper bound of the minimum distance based on true (low-weight)
codewords found by a fine-tuned local search. The algorithm proved to
be powerful in the sense that it found 2 codewords of weight 20 for
MacKay (3,6)-regular (504, 252) code, 1 codeword of weight 34 for
MacKay (3, 6)-regular (1008, 504) code, 66 codewords of weight 40 for
the Margulis (p=11) code, 2184 codewords of weight 14 for the
Ramanujan-Margulis (13, 5) code, and 204 codewords of weight 24 for the
Ramanujan-Margulis (17, 5) code.
Download tar file
associated pdf file
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The Inference Group is supported by the Gatsby Foundation and by a partnership award from IBM Zurich Research Laboratory David J.C. MacKaySite last modified Sun Sep 12 17:01:46 BST 2004
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