Input signal decorrelation applied to adaptive second-order Volterra filters in the time domain

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Küch F, Zeller M, Kellermann W
Publisher: IEEE
Publication year: 2006
Pages range: 348-353
ISBN: 1-4244-0535-1
Language: English


Abstract


The compensation of nonlinear signal distortions as caused by small, low-cost loudspeakers driven at high volume by second-order Volterra filters has been investigated in recent works. In the field of acoustic echo cancellation, such undesired signal components are removed by adaptive filtering. Since the performance of the usually applied LMS adaptation suffers from correlations of the input data, preceding decorrelation of the excitation signal is desirable in order to increase the speed of convergence. This contribution discusses an efficient configuration for incorporating a decorrelation filter into nonlinear adaptive filtering scenarios. Simulation results for both noise and speech indicate an increase in convergence speed by providing decorrelated signals as filter input. © 2006 IEEE.


FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik
Zeller, Marcus
Lehrstuhl für Multimediakommunikation und Signalverarbeitung


How to cite

APA:
Küch, F., Zeller, M., & Kellermann, W. (2006). Input signal decorrelation applied to adaptive second-order Volterra filters in the time domain. In Proceedings of the 2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop, DSPWS (pp. 348-353). Moose, WY, US: IEEE.

MLA:
Küch, Fabian, Marcus Zeller, and Walter Kellermann. "Input signal decorrelation applied to adaptive second-order Volterra filters in the time domain." Proceedings of the 2006 IEEE 12th Digital Signal Processing Workshop and 4th IEEE Signal Processing Education Workshop, DSPWS, Moose, WY IEEE, 2006. 348-353.

BibTeX: 

Last updated on 2019-31-05 at 17:38