Hamming神经网络在最小加权距离译码中的应用

An Application of Hamming Neural Network in Minimum Weighted Distance Decoding

研究Hamming神经网络在分组码的最小加权距离译码中的应用.首先构造出用于分组码最小加权距离译码的Hamming神经网络,然后给出利用所构造的Hamming神经网络实现分组码的最小加权距离译码的算法,最后通过计算机模拟用这种算法实现了(7,4)线性分组码的最小加权距离译码.

Studies an application of Hamming neural network in minimum weighted distance decoding of block code. At first a Hamming neural network for minimum weighted distance decoding of block code is constructed. Next the Hamming neural network algorithm for minimum weighted distance decoding of block code is presented. At last the result of computer simulation of minimum weighted distance decoding of (7,4) linear block code is presented using this algorithm.