Partitioned block frequency-domain adaptive second-order Volterra filter

Journal article
(Original article)

Publication Details

Author(s): Küch F, Kellermann W
Journal: IEEE Transactions on Signal Processing
Publisher: Institute of Electrical and Electronics Engineers (IEEE)
Publication year: 2005
Volume: 53
Journal issue: 2
Pages range: 564-575
ISSN: 1053-587X


Finite-length Volterra filters are known to be able to model a wide range of real world nonlinear systems. In this paper, we present an algorithm that allows for different memory lengths of the linear and quadratic Volterra kernel while preserving the advantages of fast convolution techniques in the frequency domain for a second-order Volterra filter. This is achieved by extending partitioned block methods to second-order Volterra filters. To obtain corresponding adaptive realizations of the proposed approach, we present generalizations of known frequency-domain algorithms for Volterra filters and partitioned block frequency-domain adaptive filters for linear systems, respectively. To exploit the advantages of adaptive frequency-domain algorithms with respect to convergence speed, we provide a frequency bin-wise normalization of the step-size parameters. To evaluate the performance of the proposed approach, simulation results are given for the application to nonlinear acoustic echo cancellation. The results confirm the improved convergence of a second-order partitioned block frequency-domain adaptive Volterra filter (PBFDAVF) compared with time-domain adaptation of the kernel coefficients. © 2005 IEEE.

FAU Authors / FAU Editors

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

How to cite

Küch, F., & Kellermann, W. (2005). Partitioned block frequency-domain adaptive second-order Volterra filter. IEEE Transactions on Signal Processing, 53(2), 564-575.

Küch, Fabian, and Walter Kellermann. "Partitioned block frequency-domain adaptive second-order Volterra filter." IEEE Transactions on Signal Processing 53.2 (2005): 564-575.


Last updated on 2018-23-12 at 13:50