An adaptive filtering algorithm with parameter acceleration

Author

Gerken, Max ; Pait, Felipe M. ; Jojoa, Pablo E.

Author_Institution

Sao Paulo Univ., Brazil

Volume

1

fYear

2000

fDate

2000

Firstpage

17

Abstract

We introduce a novel fast discrete-time algorithm for adaptive filtering applications. It is based on a tuner used in adaptive control that sets the second derivative of the parameter estimates. For colored input signals the proposed algorithm presents a more favorable compromise between convergence speed and steady-state estimation error than the LMS or NLMS algorithms, a property obtained at the cost of a moderate increase in computational complexity. We provide a deterministic convergence proof and present simulation results

Keywords

adaptive filters; adaptive signal processing; computational complexity; convergence of numerical methods; filtering theory; parameter estimation; LMS algorithm; NLMS algorithm; adaptive control; adaptive filtering algorithm; colored input signals; computational complexity; convergence speed; deterministic convergence proof; fast discrete-time algorithm; parameter acceleration; parameter estimation; simulation results; steady-state estimation error; Acceleration; Adaptive control; Adaptive filters; Convergence; Estimation error; Filtering algorithms; Least squares approximation; Parameter estimation; Steady-state; Tuners;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech, and Signal Processing, 2000. ICASSP '00. Proceedings. 2000 IEEE International Conference on

Conference_Location

Istanbul

ISSN

1520-6149

Print_ISBN

0-7803-6293-4

Type

conf

DOI

10.1109/ICASSP.2000.861847

Filename

861847