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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
【摘要】 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.
【Abstract】 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.
【关键词】 纠错编码;
神经网络/最小加权距离译码;
【Key words】 error correcting coding; neural networks/minimum weighted distance decoding;
【Key words】 error correcting coding; neural networks/minimum weighted distance decoding;
- 【文献出处】 北京邮电大学学报 ,Journal of Beijing University of Posts and Telecommunications , 编辑部邮箱 ,1995年01期
- 【分类号】TN911.22
- 【被引频次】1
- 【下载频次】63