NEURAL NETWORK FOR ADAPTIVE FIR FILTERING

被引：4

作者：

FORTI, M

MANETTI, S

MARINI, M

机构：

[1] Department of Electronic Engineering University of Florence, Firenze

来源：

ELECTRONICS LETTERS | 1990年 / 26卷 / 14期

关键词：

Filters; Network topology;

D O I：

10.1049/el:19900659

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

A new approach to FIR adaptive filtering which is based on the use of a Hopfield-type neural network is proposed. The search for the optimum set of filter weights is not conducted with recursive digital algorithms, but is achieved in real time during the analogue transient of the neural network. © 1990, The Institution of Electrical Engineers. All rights reserved.

引用

页码：1018 / 1019

页数：2