This Article Full Text (OnlineFirst PDF) All Versions of this Article: 1077546309105336v1 15/12/1875    most recent Alert me when this article is cited Alert me if a correction is posted Services Email this article to a friend Similar articles in this journal Alert me to new issues of the journal Add to Saved Citations Download to citation manager Request Permissions Request Reprints Add to My Marked Citations Citing Articles Citing Articles via Scopus Google Scholar Articles by Chang, C.-Y. Social Bookmarking                         What's this?

Simple Approaches to Improve the Performance of Noise Cancellation

Department of Electrical Engineering, Chung Yuan Christian University, Jhongli City, Taiwan 320, R.O.C.

^* To whom correspondence should be addressed. E-mail: ccy{at}cycu.edu.tw.

	Abstract

In this paper we present a neural-based algorithm to cancel the nonlinear narrowband and broadband noise in an active noise control (ANC) system. The improved method, including the ways to decide the learning rate and optimal initial weighting values of the neural network (NN), are presented to enhance the noise reduction performance. The proposed approach does not need mathematical transfer functions of the duct plant and a method of avoiding the premature saturation problem of NNs is also provided. A comparison with conventional neural methods by simulation shows that the proposed method can effectively cancel the undesired noise very well. The proposed improved method is also versatile to the other applications in NN filter design.

First published on June 26, 2009, doi:10.1177/1077546309105336

Journal of Vibration and Control 2009;15:1875.

A more recent version of this article appeared on December 1, 2009


CiteULike    Complore    Connotea    Del.icio.us    Digg    Reddit    Technorati    Twitter    What's this?