Real-time design of FIR filters by feedback neural networks

被引：28

作者：

Bhattacharya, D

Antoniou, A

机构：

[1] Department of Electrical Engineering, University of Victoria, Victoria

来源：

IEEE SIGNAL PROCESSING LETTERS | 1996年 / 3卷 / 05期

关键词：

D O I：

10.1109/97.491661

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 Hopfield-type neural network for the design of 1-D FIR filters is proposed, Given the frequency or amplitude response, the all-analog network computes the filter coefficients in real time, The network is simulated with HSPICE and examples are included to show that this is an efficient way of solving the approximation problem compared to the standard techniques for FIR filter design.

引用

页码：158 / 161

页数：4