Four optimal design approaches of high-order finite-impulse response filters based on neural network

来源期刊：中南大学学报(英文版)2007年第1期

论文作者：王小华 何怡刚 刘美容

文章页码：94 - 94

Key words：high-order finite-impulse response digital filter; frequency response; neural network; convergence theorem

Abstract: Four optimal approaches of high-order finite-impulse response(FIR) digital filters were developed for designing four types filters using neural network algorithms. The solutions were presented as parallel algorithms to approximate the desired frequency response specification. Therefore, these methods avoid matrix inversion, and make a fast calculation of the filter’s coefficients possible. The convergence theorems of these proposed algorithms were presented and proved to illustrate them stable, and the implementation of these methods was described together with some design guidelines. The simulation results show that the ripples of the designed FIR filters are significantly little in the pass-band and stop-band, and the proposed algorithms are of fast convergence.

基金信息：the National Natural Science Foundation of China
the Doctoral Special Fund of Ministry of Education, China
the Program for New Century Excellent Talents in University
the Foundation of Hunan Provincial Science and Technology