An improved new error estimation algorithm for optimal filter lengths for stereophonic acoustic echo cancellation

Nguyen-Ky, T. and Leis, J. and Xiang, W. (2010) An improved new error estimation algorithm for optimal filter lengths for stereophonic acoustic echo cancellation. Computers and Electrical Engineering, 36 (4). pp. 664-675. ISSN 0045-7906

Abstract

In this paper, we propose an new error estimate algorithm (NEEA) for stereophonic acoustic echo cancellation (SAEC) that is based on the error estimation algorithm (EEA) in [Nguyen-Ky T, Leis J, Xiang W. An improved error estimate algorithm for stereophonic acoustic echo cancellation system. In: International conference on signal processing and communication systems, ICSPCS’2007, Australia; December 2007]. In the EEA and NEEA, with the minimum error signal fixed, we compute the filter lengths so that the error signal may approximate the minimum error signal. When the echo paths change, the adaptive filter automatically adjusts the filter lengths to the optimum values. We also investigate the difference between the adaptive filter lengths. In contrast with the conclusions in [Khong AWH, Naylor PA. Stereophonic acoustic echo cancellation employing selective-tap adaptive algorithms. IEEE Trans Audio, Speech, Lang Process 2006;14(3):785–96, Gansler T, Benesty J. Stereophonic acoustic echo cancellation and two channel adaptive filtering: an overview. Int J Adapt Control Signal Process 2000;4:565–86, Benesty J, Gansler T. A multichannel acoustic echo canceler double-talk detector based on a normalized cross-correlation matrix. Acoust Echo Noise Control 2002;13(2):95–101, Gansler T, Benesty J. A frequency-domain double-talk detector based on a normalized cross-correlation vector. Signal Process 2001;81:1783–7, Eneroth P, Gay SL, Gansler T, Benesty J. A real-time mplementation of a stereophonic acoustic echo canceler. IEEE Trans. Speech Audio Process 2001;9(5):513–23, Gansler T, Benesty J. New insights into the stereophonic acoustic echo cancellation problem and an adaptive nonlinearity solution. IEEE Trans. Speech Audio Process 2002; 10(5):257–67, Benesty J, Gansler T, Morgan DR, Sondhi MM, Gay SL. Advances in network and acoustic echo cancellation. Berlin: Springer-Verlag; 2001], our simulation results have shown that the filter lengths can be different. Our simulation results also confirm that the NEEA is better than EEA and SM-NLMS algorithm in terms of echo return loss enhancement.


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Item Type: Article (Commonwealth Reporting Category C)
Refereed: Yes
Item Status: Live Archive
Additional Information: Author version not held. Published version cannot be displayed.
Depositing User: Assoc Prof John Leis
Faculty / Department / School: Historic - Faculty of Engineering and Surveying - Department of Electrical, Electronic and Computer Engineering
Date Deposited: 24 Sep 2010 02:31
Last Modified: 02 Jul 2013 23:56
Uncontrolled Keywords: audio; echo cancellation; adaptive filter; error estimate algorithm; filter length; stereophonic acoustic echo cancellation (SAEC)
Fields of Research (FOR2008): 09 Engineering > 0906 Electrical and Electronic Engineering > 090609 Signal Processing
08 Information and Computing Sciences > 0802 Computation Theory and Mathematics > 080201 Analysis of Algorithms and Complexity
09 Engineering > 0913 Mechanical Engineering > 091301 Acoustics and Noise Control (excl. Architectural Acoustics)
Socio-Economic Objective (SEO2008): B Economic Development > 89 Information and Communication Services > 8901 Communication Networks and Services > 890199 Communication Networks and Services not elsewhere classified
Identification Number or DOI: doi: 10.1016/jcompeleceng.2008.11.012
URI: http://eprints.usq.edu.au/id/eprint/8261

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