信阳师范学院学报（自然科学版）Issue(3)：424-427,4.DOI:10.3969/j.issn.1003-0972.2013.03.029
基于神经网络的等波纹全通滤波器设计方法
Design of Equiripple Digital All-pass Filters Using Neural Networks Technique
摘要
Abstract
The error representation is reformulated by the Lyapunov energy function reflects the difference between the desired group delay response and the designed response .The optimal filter group delay function is obtained when the neural network is convergence .Furthermore, the proposed method using a weighted updating function can make a very good approximation of the minimax solution .Simulation results indicate that the proposed approach has the advan -tage of effectiveness and is suitable for hardware implementation in real time .关键词
全通滤波器/神经网络/群延迟/加权最小二乘法/实时性Key words
all-pass filter/neural network/group delay/weighted least-squares/real time分类
信息技术与安全科学引用本文复制引用
刘渭清..基于神经网络的等波纹全通滤波器设计方法[J].信阳师范学院学报（自然科学版）,2013,(3):424-427,4.基金项目
西安市科技计划项目---西安文理学院科研创新基金专项项目 （）
