The combination of genetic algorithm and variable step-size algorithm for adaptive IIR notch filter

Author

Benjangkaprasert, C. ; Jorphochaudom, S. ; Chompoo, S. ; Sangaroon, O. ; Janchitrapongvej, K.

Author_Institution

Dept. of Information Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand

Volume

1

fYear

2003

fDate

14-17 Dec. 2003

Firstpage

480

Abstract

In this paper, the combination algorithm for a second-order adaptive IIR notch filter is presented. The proposed algorithm is based on the genetic algorithm as an initial stage of adaptation process, as we approach the optimum step-size parameter, we using the new variable step-size algorithm. By this technique, the new algorithm achieves the optimum step-size parameter of the filter coefficient for an adaptive IIR notch filter. The results of computer simulation show that the new algorithm provides a good performance such as fast convergence rate, low mean square error and noise robustness. In addition, the new algorithm is also applied to cancel 50-Hz power line interference in the recording of electrocardiograms signal.

Keywords

IIR filters; adaptive filters; electrocardiography; genetic algorithms; interference (signal); interference suppression; medical signal processing; notch filters; 50 Hz; adaptive IIR notch filter; electrocardiograms signal; fast convergence rate; filter coefficient; genetic algorithm; low mean square error; noise robustness; power line interference; variable step-size algorithm; Adaptive filters; Adaptive signal processing; Convergence; Frequency estimation; Gaussian noise; Genetic algorithms; IIR filters; Mean square error methods; Noise robustness; Signal processing algorithms;

fLanguage

English

Publisher

ieee

Conference_Titel

Neural Networks and Signal Processing, 2003. Proceedings of the 2003 International Conference on

Conference_Location

Nanjing

Print_ISBN

0-7803-7702-8

Type

conf

DOI

10.1109/ICNNSP.2003.1279315

Filename

1279315