Result Details

Nonlinear Stochastic Gradient Algorithm with Variable Step-Size

Vladimir Malenovsky, Ing. Radek Zezula, Ing. Ivan Koula, Ing. Nonlinear Stochastic Gradient Algorithm with Variable Step-Size. In Proceedings of the Intl. Conference TSP 2005. 28. Brno: VUT Brno, 2005. no. 1, 6 p. ISBN: 80-214-2972-0.
Type
conference paper
Language
English
Authors
Malenovský Vladimír, Ing., Ph.D., UTKO (FEEC)
Koula Ivan, Ing., UTKO (FEEC)
Zezula Radek, Ing., Ph.D.
Abstract

This letter proposes a new algorithm, which uses an optimal step-size (OSS) weight-adjustment scheme. This strategy leads to better convergence rate and misadjustment in environments with sudden change of parameters and for colored input data. The computational complexity is comparable with the well-known RLS. The performance of the novel approach is verified by simulations under system identification scenario and compared with the peroformance of the NLMS and RLS algorithms. Experimental results for car-interior echo cancelation are presented and a discussion is provided for improving the performance using exponentially averaged gradient vector.

Keywords

adaptive filter, echo cancelling, handsfree, noise suppression, gradient vector

Published
2005
Pages
6
Proceedings
Proceedings of the Intl. Conference TSP 2005
Series
28
Edition
1
Volume
28
Number
1
Conference
Telecommunications and Signal Processing TSP-2005
ISBN
80-214-2972-0
Publisher
VUT Brno
Place
Brno
BibTeX 
@inproceedings{BUT15145,
  author="Vladimír {Malenovský} and Ivan {Koula} and Radek {Zezula}",
  title="Nonlinear Stochastic Gradient Algorithm with Variable Step-Size",
  booktitle="Proceedings of the Intl. Conference TSP 2005",
  year="2005",
  series="28",
  volume="28",
  number="1",
  pages="6",
  publisher="VUT Brno",
  address="Brno",
  isbn="80-214-2972-0"
}
Departments
Department of Telecommunications (UTKO)
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