机构地区: 西安电子科技大学通信工程学院
出 处: 《电子学报》 1996年第4期91-94,共4页
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.
领 域: [自动化与计算机技术] [自动化与计算机技术]