摘要
本文分析了一类循环码的结构特性，提出了这类循环码的神经网络软判决译码算法。新算法的复杂度比现有一般的神经网络译码算法要低得多。
Followed analying for the property of a class of cyclic codes.An algorithm for neural soft decision decoding of these codes is presented.The coniplexity of new algorithm is much less than that of available algorithms for decoding of general linear block codes,and its performance is approached to that of the maximum likelihood decoding.
出处
《电子学报》
EI
CAS
CSCD
北大核心
1996年第4期91-94,共4页
Acta Electronica Sinica
基金
电子科学研究院军事预研基金
关键词
循环码
软判决译码
神经网络
Cyclic codes,Soft-decision decoding,Neural networks
