Detail výsledku

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.
Typ
článek ve sborníku konference
Jazyk
anglicky
Autoři
Malenovský Vladimír, Ing., Ph.D., UTKO (FEKT)
Koula Ivan, Ing., UTKO (FEKT)
Zezula Radek, Ing., Ph.D., UTKO (FEKT)
Abstrakt

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.

Klíčová slova

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

Rok
2005
Strany
6
Sborník
Proceedings of the Intl. Conference TSP 2005
Řada
28
Vydání
1
Svazek
28
Číslo
1
Konference
Telecommunications and Signal Processing TSP-2005
ISBN
80-214-2972-0
Vydavatel
VUT Brno
Místo
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"
}
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