On neural decoding for some cyclic codes

Based on analysis of the property of a class of cyclic codes, an algorithm for neural soft decision decoding of those codes is presented. The complexity of the new algorithm is much less than that of the available algorithms for decoding general linear block codes, and its performance is approached to that of the maximum likelihood decoding.