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 that distorts the model geometry and preserves important interactions between sites. The method naturally recovers the probability propagation decoding algorithm as an extremization of a proper free-energy. We find a thermodynamic phase transition that coincides with information theoretical upper-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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