神经网络在分组码软判决译码中的应用

Applications of Neural Networks in the Soft-Decision Decoding of Block Codes

本文对线性分组码构造了一个神经网络软判决译码器，并提出了循环码的一个神经网络软判决译码算法，对Ｇｏｌａｙ码的计算机仿真表明，新算法不仅译码速度快，而且，具有优越的性能。

A neural network soft-decision deceder of linear block cedes is structured and a neural network soft-decision decoding algorithm for cyclic codes is presented. The computer simulation for the Golay cede's soft-decision deceding shows that the new algorithm has both very fast decoding speed and good performance.