The extrapolated LMS adaptive filtering algorithms

Author

Chen, Sau-Gee ; Kao, Yung-An ; Chen, Ching-Yeu

Author_Institution

Dept. of Electron. Eng., Nat. Chiao Tung Univ., Hsinchu, Taiwan

Volume

1

fYear

1996

fDate

26-29 Nov 1996

Firstpage

485

Abstract

Two novel adaptive filtering algorithms are proposed. The algorithms greatly reduce the number of adaptation steps of the LMS algorithm by extrapolating the adaptive filtering coefficients. The extrapolation is done through the time constant and optimal coefficient estimations of the coefficient adaptation process. Simulation results for the system identification and correlation canceller loop show significant reduction of the adaptation steps. The algorithms can be applied to general orthogonal adaptive filters and least-square error optimization problems

Keywords

adaptive filters; adaptive signal processing; correlation methods; extrapolation; filtering theory; least mean squares methods; parameter estimation; adaptive filtering coefficients; coefficient adaptation process; correlation canceller loop; extrapolated LMS adaptive filtering algorithms; extrapolation; least-square error optimization; optimal coefficient estimation; orthogonal adaptive filters; simulation results; system identification; time constant estimation; Adaptive filters; Computational modeling; Extrapolation; Filtering algorithms; Least squares approximation; Low pass filters; Robustness; Signal processing algorithms; Stability; System identification;

fLanguage

English

Publisher

ieee

Conference_Titel

TENCON '96. Proceedings., 1996 IEEE TENCON. Digital Signal Processing Applications

Conference_Location

Perth, WA

Print_ISBN

0-7803-3679-8

Type

conf

DOI

10.1109/TENCON.1996.608864

Filename

608864