Excitation-dependent stepsize control of adaptive Volterra filters for acoustic echo cancellation

Contan C, Zeller M, Kellermann W, Topa M (2012)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2012

Pages Range: 604-608

Article Number: 6334344

Event location: Bucharest RO

ISBN: 9781467310680

URI: https://www.scopus.com/inward/record.uri?partnerID=HzOxMe3b&scp=84869845815∨igin=inward

Abstract

This paper proposes a new updating technique for adaptive Volterra kernels employed as nonlinear models for the identification of unknown feedback paths in acoustic nonlinear echo cancellation tasks. Considering that nonlinear distortions are mainly introduced for high input levels, the effective step size is shaped according to the instantaneous envelope of the excitation signal. The loudspeaker-enclosure-microphone setup is modeled using measured linear and quadratic Volterra kernels. The efficiency of the proposed method is compared to the one of the second-order Volterra filter that uses only the Normalized Least-Mean-Square algorithm for kernel adaptation in terms of Echo Return Loss Enhancement. Simulations for different input signals show a superior behavior of the new approach in terms of convergence speed, considering the same steady-state error. © 2012 EURASIP.

Authors with CRIS profile

Marcus Zeller Lehrstuhl für Multimediakommunikation und Signalverarbeitung Walter Kellermann Professur für Signalverarbeitung

Involved external institutions

Technical University Cluj-Napoca / Universitatea Tehnica din Cluj-Napoca RO Romania (RO)

How to cite

APA:

Contan, C., Zeller, M., Kellermann, W., & Topa, M. (2012). Excitation-dependent stepsize control of adaptive Volterra filters for acoustic echo cancellation. In Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012 (pp. 604-608). Bucharest, RO.

MLA:

Contan, Cristian, et al. "Excitation-dependent stepsize control of adaptive Volterra filters for acoustic echo cancellation." Proceedings of the 20th European Signal Processing Conference, EUSIPCO 2012, Bucharest 2012. 604-608.

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