摘要
基于现实世界中模糊信息的背景 ,利用模糊逻辑方法讨论如何对模糊信息进行编码与传输的问题。提出能对模糊信息进行编码的模糊纠错码 ,讨论了重量、距离、译码准则等基本概念。分析了模糊纠错码的优点及其与普通纠错码的关系 ,并给出了利用模糊纠错码的通信系统模型。建立了线性模糊纠错码的概念 ,研究了生成阵、校验阵、对偶码等性质。最后指出利用模糊神经网络技术实现线性纠错码的编码方案和译码技术 ,译码模拟结果显示了性能优势。
Based on the background of fuzzy information in real world, this paper researches into the problem of how to encode and transmit fuzzy information by means of fuzzy logical method. The concept of fuzzy error correcting codes is introduced which can encode the fuzzy information. Such ideas as weight, distance and decoding criteria of fuzzy error correcting codes are discussed and the advantages of fuzzy error correcting codes over general ones are presented with the relationship between them. Then the authors put up models of fuzzy communication system. Linear fuzzy error correcting code is discussed and such basic properties of linear fuzzy error correcting code as generator matrix, dual code and so on are studied. By means of fuzzy neural network techniques, the authors get encoding and decoding schemes of linear fuzzy error correcting code. The simulation results clearly demonstrate the improvement in bit error ratio.
出处
《重庆邮电学院学报（自然科学版）》
2000年第3期26-31,共6页
Journal of Chongqing University of Posts and Telecommunications(Natural Sciences Edition)
基金
军事电子预研基金资助
关键词
模糊逻辑
纠错码
模糊信息
模糊神经网络
fuzzy logical
error correcting code
fuzzy information
fuzzy neural network
