Coefficient-dependent step-size for adaptive second-order Volterra filters

Conference contribution
(Conference Contribution)


Publication Details

Author(s): Küch F, Kellermann W
Publisher: European Signal Processing Conference, EUSIPCO
Publication year: 2004
Pages range: 1805-1808
ISBN: 9783200001657


Abstract


In this contribution we propose a coefficient-dependent and time-variant step-size for the least mean square (LMS) algorithm applied to adaptive second-order Volterra filters. The optimum step-size is derived by introducing a novel optimality criterion which is given by the minimum mean squared error between the coefficient error of an adaptive Volterra filter coefficient and the respective LMS update term of that coefficient. As the optimum step-size includes statistical terms that are in general not accessible, we also present models for estimating these quantities for the application in nonlinear acoustic echo cancellation.



FAU Authors / FAU Editors

Kellermann, Walter Prof. Dr.-Ing.
Professur für Nachrichtentechnik


How to cite

APA:
Küch, F., & Kellermann, W. (2004). Coefficient-dependent step-size for adaptive second-order Volterra filters. In Proceedings of the 12th European Signal Processing Conference, EUSIPCO 2004 (pp. 1805-1808). Vienna, AT: European Signal Processing Conference, EUSIPCO.

MLA:
Küch, Fabian, and Walter Kellermann. "Coefficient-dependent step-size for adaptive second-order Volterra filters." Proceedings of the 12th European Signal Processing Conference, EUSIPCO 2004, Vienna European Signal Processing Conference, EUSIPCO, 2004. 1805-1808.

BibTeX: 

Last updated on 2019-03-06 at 07:09