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Design of 1-Dimentional FIR Filter using Modified Widrow-Hoff Neural Network

by Amit Mishra, Khushboo Pachauri, Zaheeruddin
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International Journal of Computer Applications
Foundation of Computer Science (FCS), NY, USA
Volume 59 - Number 20
Year of Publication: 2012
Authors: Amit Mishra, Khushboo Pachauri, Zaheeruddin
10.5120/9820-3674

Amit Mishra, Khushboo Pachauri, Zaheeruddin . Design of 1-Dimentional FIR Filter using Modified Widrow-Hoff Neural Network. International Journal of Computer Applications. 59, 20 ( December 2012), 23-28. DOI=10.5120/9820-3674

@article{ 10.5120/9820-3674,
author = { Amit Mishra, Khushboo Pachauri, Zaheeruddin },
title = { Design of 1-Dimentional FIR Filter using Modified Widrow-Hoff Neural Network },
journal = { International Journal of Computer Applications },
issue_date = { December 2012 },
volume = { 59 },
number = { 20 },
month = { December },
year = { 2012 },
issn = { 0975-8887 },
pages = { 23-28 },
numpages = {9},
url = { https://ijcaonline.org/archives/volume59/number20/9820-3674/ },
doi = { 10.5120/9820-3674 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
}
%0 Journal Article
%1 2024-02-06T21:04:48.750029+05:30
%A Amit Mishra
%A Khushboo Pachauri
%A Zaheeruddin
%T Design of 1-Dimentional FIR Filter using Modified Widrow-Hoff Neural Network
%J International Journal of Computer Applications
%@ 0975-8887
%V 59
%N 20
%P 23-28
%D 2012
%I Foundation of Computer Science (FCS), NY, USA
Abstract

This paper is intended to provide an alternative optimization approach for the design of one-dimensional finite impulse response filter based on modified Widrow-Hoff neural network. This technique is based on minimization of weighted square-error function in frequency domain. Design guidelines and implementation approach was presented along with the proof of convergence theorem for the stability of neural network algorithm. Few examples which include single and multiband digital finite impulse response filters are presented; comparisons to existing methods are made. Computational complexity of various neural-based methods are also compared. As simulation results illustrates, the proposed neural network based method is capable of achieving an excellent performance for digital filter design.

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Index Terms

Computer Science
Information Sciences

Keywords

FIR filter Weigted square-error function Modified Widrow-Hoff neural network Convergence theorem

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