Physics – Condensed Matter – Disordered Systems and Neural Networks
Scientific paper
1999-08-25
J. Phys. A 33 (2000) 6527-6542
Physics
Condensed Matter
Disordered Systems and Neural Networks
20 pages, 9 figures, revised version submitted to JPA
Scientific paper
10.1088/0305-4470/33/37/305
Low-density parity-check codes with irregular constructions have been recently shown to outperform the most advanced error-correcting codes to date. In this paper we apply methods of statistical physics to study the typical properties of simple irregular codes. We use the replica method to find a phase transition which coincides with Shannon's coding bound when appropriate parameters are chosen. The decoding by belief propagation is also studied using statistical physics arguments; the theoretical solutions obtained are in good agreement with simulations. We compare the performance of irregular with that of regular codes and discuss the factors that contribute to the improvement in performance.
Kabashima Yoshiyuki
Saad David
Vicente Renato
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