Title :
Fast convergence algorithm for adaptive IIR notch filter using combination of genetic search and variable step-size algorithm
Author :
Benjangkaprasert, C. ; Phuvasitkul, S. ; Limwong, W. ; Janchitrapongvej, K.
Author_Institution :
Dept. of Inf. Eng., King Mongkut´´s Inst. of Technol., Bangkok, Thailand
Abstract :
In this paper, the combination of genetic algorithm and a new variable step-size algorithm for a second-order adaptive IIR notch filter is presented. The objective of the new algorithm is to optimize the filter coefficient. 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; convergence; electrocardiography; genetic algorithms; interference suppression; medical signal processing; notch filters; adaptive IIR notch filter; electrocardiograms signal; fast convergence algorithm; filter coefficient; genetic algorithm; genetic search algorithm; low mean square error; noise robustness; power line interference; variable step-size algorithm; Adaptive filters; Adaptive signal processing; Convergence; Genetic algorithms; Genetic engineering; IIR filters; Mean square error methods; Noise cancellation; Signal processing algorithms; Transfer functions;
Conference_Titel :
Intelligent Transportation Systems, 2003. Proceedings. 2003 IEEE
Print_ISBN :
0-7803-8125-4
DOI :
10.1109/ITSC.2003.1252626
