Iterated coefficient updates of partitioned block frequency domain second-order volterra filters for nonlinear AEC

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Zeller M, Kellermann W
Publication year: 2007
Volume: 3
Pages range: 1425-1428
ISBN: 9781424407286


Abstract


This paper presents the benefits of iterated coefficient updates for the adaptation of partitioned block frequency domain second-order Volterra filters when applied to nonlinear acoustic echo cancellation. In order to increase the convergence speed of an NLMS algorithm with separate kernel normalization, each input frame is used for several coefficient updates. This procedure effectively accelerates the convergence of the employed adaptive Volterra filters and is shown to be superior to processing with increased data overlap. The advantages of this novel approach are illustrated by experimental results for noise and speech input and guidelines for determining suitable numbers of iterations for the filter kernels are given. © 2007 IEEE.



FAU Authors / FAU Editors

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


How to cite

APA:
Zeller, M., & Kellermann, W. (2007). Iterated coefficient updates of partitioned block frequency domain second-order volterra filters for nonlinear AEC. (pp. 1425-1428). Honolulu, HI, US.

MLA:
Zeller, Marcus, and Walter Kellermann. "Iterated coefficient updates of partitioned block frequency domain second-order volterra filters for nonlinear AEC." Proceedings of the 2007 IEEE International Conference on Acoustics, Speech and Signal Processing, ICASSP '07, Honolulu, HI 2007. 1425-1428.

BibTeX: 

Last updated on 2018-06-08 at 12:08