Adaptive fir filters with automatic length optimization by monitoring a normalized combination scheme

Zeller M, Azpicueta-Ruiz LA, Kellermann W (2009)

Publication Language: English

Publication Status: Published

Publication Type: Conference contribution, Conference Contribution

Publication year: 2009

Pages Range: 149-152

Article Number: 5346547

Event location: New Paltz, NY US

ISBN: 978-1-4244-3678-1

DOI: 10.1109/ASPAA.2009.5346547

Abstract

This paper presents a novel strategy of adaptive filtering which provides an automatic self-configuration of the filter structure in terms of memory length. By monitoring the adaptive mixing of a normalized combination of two competing filters with a different number of coefficients, an online estimate of the optimum filter length is obtained and used to dynamically scale the size of the employed filters. Furthermore, a more efficient, simplified version of this approach is proposed and shown to be equally effective while significantly reducing the required complexity. Experimental results for high-order real-world systems as well as stationary noise and speech signals demonstrate the good performance and the robust tracking behaviour of the outlined algorithms in the context of realistic system identification scenarios. ©2009 IEEE.

Authors with CRIS profile

Marcus Zeller Lehrstuhl für Multimediakommunikation und Signalverarbeitung (LMS) Walter Kellermann Professur für Signalverarbeitung

Involved external institutions

Universidad Carlos III de Madrid (UC3M) ES Spain (ES)

How to cite

APA:

Zeller, M., Azpicueta-Ruiz, L.A., & Kellermann, W. (2009). Adaptive fir filters with automatic length optimization by monitoring a normalized combination scheme. In Proceedings of the 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009 (pp. 149-152). New Paltz, NY, US.

MLA:

Zeller, Marcus, Luis A. Azpicueta-Ruiz, and Walter Kellermann. "Adaptive fir filters with automatic length optimization by monitoring a normalized combination scheme." Proceedings of the 2009 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics, WASPAA 2009, New Paltz, NY 2009. 149-152.

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