Abstract
We address the problem of evaluating the asymptotic normalized distributions of a class of combinatorial configurations in random, regular, binary low-density parity-check (LDPC) code ensembles. Among the configurations considered are trapping and stopping sets1; these sets represent induced subgraphs in the Tanner graph of a code that, for certain classes of channels, exhibit a strong influence on the height and point of onset of the error-floor. The techniques used in the derivations are based on large deviation theory and statistical methods for enumerating random-like matrices. These techniques can also be applied in a setting that involves more general structural entities such as subcodes and/or minimal codewords, which are known to characterize other important properties of soft-decision decoders of linear codes.
Original language | English |
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Title of host publication | 43rd Annual Allerton Conference on Communication, Control and Computing 2005 |
Subtitle of host publication | proceedings |
Place of Publication | Champaign, IL |
Publisher | University of Illinois at Urbana-Champaign, Coordinated Science Laboratory and Department of Computer and Electrical Engineering |
Pages | 1737-1746 |
Number of pages | 10 |
Volume | 4 |
ISBN (Electronic) | 9781604234916 |
Publication status | Published - 2005 |
Externally published | Yes |
Event | 43rd Annual Allerton Conference on Communication, Control and Computing 2005 - Monticello, United States Duration: 28 Sept 2005 → 30 Sept 2005 |
Other
Other | 43rd Annual Allerton Conference on Communication, Control and Computing 2005 |
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Country/Territory | United States |
City | Monticello |
Period | 28/09/05 → 30/09/05 |