A Variable Momentum Blind Equalization Algorithm Based on the Fuzzy Neural Network

摘要：

A new Variable-Momentum Blind Equalization Algorithm based on the Fuzzy Neural Network (FNN) is presented. An iteration formula using an improved FNN is deduced by using cost function. In the new algorithm, the momentum varies dynamically with the error and error change, improving the convergent performance of the algorithm.

关键词： Blind Equalization Algorithm (BEA) Fuzzy Neural Network (FCC) Momentum Cos tFunction

作者: HU Ying ZHANG Liyi

作者单位: Department of Information and Communication Engineering, Taiyuan University of Science and Technology, Taiyuan, 030024

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）