Detail publikace

Nonlinear Stochastic Gradient Algorithm with Variable Step-Size

Vladimir Malenovsky, Ing. Radek Zezula, Ing. Ivan Koula, Ing.

Originální název

Nonlinear Stochastic Gradient Algorithm with Variable Step-Size

Typ

článek ve sborníku ve WoS nebo Scopus

Jazyk

angličtina

Originální 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

Autoři

Vladimir Malenovsky, Ing. Radek Zezula, Ing. Ivan Koula, Ing.

Rok RIV

2005

Vydáno

1. 9. 2005

Nakladatel

VUT Brno

Místo

Brno

ISBN

80-214-2972-0

Kniha

Proceedings of the Intl. Conference TSP 2005

Edice

28

Číslo edice

1

Strany od

103

Strany do

108

Strany počet

6

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"
}