Error-correcting Codes on a Bethe-like Lattice
Vicente, Renato, Saad, David, Kabashima, Yoshiyuki
–Neural Information Processing Systems
We analyze Gallager codes by employing a simple mean-field approximation thatdistorts the model geometry and preserves important interactions between sites. The method naturally recovers the probability propagation decodingalgorithm as an extremization of a proper free-energy. We find a thermodynamic phase transition that coincides with information theoreticalupper-bounds and explain the practical code performance in terms of the free-energy landscape.
Neural Information Processing Systems
Dec-31-2001
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- Japan > Honshū
- Kantō
- Kanagawa Prefecture > Yokohama (0.04)
- Tokyo Metropolis Prefecture > Tokyo (0.04)
- Kantō
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- Japan > Honshū
- Europe > United Kingdom (0.14)
- North America > United States
- Massachusetts > Middlesex County > Cambridge (0.05)
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