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基于神经网络的(23,12)Golay码译码新算法
引用本文:郑元谨 闻懋生. 基于神经网络的(23,12)Golay码译码新算法[J]. 通信技术, 1996, 0(2): 19-25
作者姓名:郑元谨 闻懋生
作者单位:西安交通大学信息与通信工程系!710049
摘    要:
对Hopfield神经网络(H.N.)在纠错编译码技术中的具体应用进行了研究,分析指出了该网络与循环码,尤其是Golay码的关系,提出了一种采用高阶互连网络实现循环码最大似然译码的方法,并且实现了一套有效的算法,非常完满地解决了(23,12)Golay码的完全译码。最后指明了硬件实现的思路。

关 键 词:神经网络 Golay码 译码 纠错编码

Neural Network Decoding to (23, 12) Golay Codes
Zhen Yuanjing, Weng Maoshen. Neural Network Decoding to (23, 12) Golay Codes[J]. Communications Technology, 1996, 0(2): 19-25
Authors:Zhen Yuanjing   Weng Maoshen
Abstract:
In this paper, it studies Error-Correct becoding technique based on Hopfield NeuralNetwork (H. N.V ). The relationship between H. N. N and cyclic codes (mainly Golay Codes) is stud-ied. Then we Put forward a method that can make maxlimum-likely decoding by use of high-ordermutual connecting networds. Moreover. a new effective algothim is designed which successfully com-plets the decnding to (23, 12)Golay codes sets. At the end of paper, the train of thought for hard-ware completion will be provided.
Keywords:hofield neural network   linear block codes   cyclic codes   golay codes   maxilimum-likey decode
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