Computer Science – Information Theory
Scientific paper
2007-04-18
Computer Science
Information Theory
16 pages, 6 figure, submitted journal version
Scientific paper
We prove that approximating the size of stopping and trapping sets in Tanner graphs of linear block codes, and more restrictively, the class of low-density parity-check (LDPC) codes, is NP-hard. The ramifications of our findings are that methods used for estimating the height of the error-floor of moderate- and long-length LDPC codes based on stopping and trapping set enumeration cannot provide accurate worst-case performance predictions.
McGregor Andrew
Milenkovic Olgica
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