A numerically stable, finite memory, fast array recursive least squares filter for broadband active noise control-Reference-Cited by-同舟云学术

A numerically stable, finite memory, fast array recursive least squares filter for broadband active noise control

Published:2015-05-20 Issue:1 Volume:30 Page:31-45
ISSN:0890-6327
Container-title:International Journal of Adaptive Control and Signal Processing
language:en
Short-container-title:Int. J. Adapt. Control Signal Process.

Author:

van Ophem S.¹,Berkhoff A. P.¹²

Affiliation:

1. Faculty of Engineering Technology; University of Twente; P.O. Box 217 7500 AE Enschede The Netherlands

2. TNO Technical Sciences; Acoustics and Sonar; P.O. Box 96864 2509 JG The Hague The Netherlands

Publisher

Wiley

Subject

Electrical and Electronic Engineering,Signal Processing,Control and Systems Engineering

Link

http://onlinelibrary.wiley.com/wol1/doi/10.1002/acs.2574/fullpdf

Reference18 articles.

1. Bjarnason E Active noise cancellation using a modified form of the filtered-x LMS algorithm Proceedings of Eusipco 92, 6th European Signal Processing Conference Brussels, Belgium 1992 1053 1056

2. Estimation-based synthesis of h∞-optimal adaptive FIR filters for filtered-LMS problems;Sayyarrodsari;IEEE Transactions on Signal Processing,2001

3. Behavior of adaptive algorithms in active noise control systems with moving noise sources;Omoto;Acoustical Science and Technology,2002

4. Control strategies for active noise barriers using near-field error sensing;Berkhoff;The Journal of the Acoustical Society of America,2005

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