Information Theory and Reliable Communication
Information Theory and Reliable Communication
Good error-correcting codes based on very sparse matrices
IEEE Transactions on Information Theory
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We propose a method to determine the critical noise level for decoding Gallager type low density parity check error correcting codes. The method is based on the magnetization enumerator (M), rather than on the weight enumerator (W) presented recently in the information theory literature. The interpretation ofour method is appealingly simple, and the relation between the different decoding schemes such as typical pairs decoding, MAP, and finite temperature decoding (MPM) becomes clear. Our results are more optimistic than those derived via the methods ofinf ormation theory and are in excellent agreement with recent results from another statistical physics approach.