DocumentCode :
1612025
Title :
Hybrid algorithm for adaptive IIR notch filter
Author :
Jorphochaudom, S. ; Benjangkaprasert, C. ; Sangaroon, O. ; Janchitrapongvej, K.
Author_Institution :
Dept. of Inf. Eng., King Mongkut´´s Inst. of Technol. Ladkrabang, Bangkok
fYear :
2008
Firstpage :
2454
Lastpage :
2458
Abstract :
In this paper presents the hybrid algorithm for adaptive IIR notch filter using the combination of genetic algorithm in parallel with variable step-size algorithm. This application is used for frequency estimation in background noise such as Gaussian noise or impulse noise. The objectives are enhancing the performance of adaptive IIR notch filter, for instance, fast convergence speed, low mean square error (MSE) and especially for noise robustness in high amplitude impulse noise situation. From the experiment results show that the proposed algorithm gives good performance, such as fast convergence speed, noise robustness, low MSE and can be used to eliminating 50 Hz power line interference, which induce to disturb the signal of electrocardiogram (ECG) of patient while the physician is recording it.
Keywords :
IIR filters; adaptive filters; frequency estimation; genetic algorithms; mean square error methods; notch filters; Gaussian noise; adaptive IIR notch filter; electrocardiogram signal; frequency estimation; genetic algorithm; impulse noise; mean square error; variable step-size algorithm; Adaptive filters; Background noise; Convergence; Frequency estimation; Gaussian noise; Genetic algorithms; IIR filters; Mean square error methods; Noise level; Noise robustness; Adaptive IIR Notch; Genetic Algorithm; Variable Step-Size Algorithm;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Control, Automation and Systems, 2008. ICCAS 2008. International Conference on
Conference_Location :
Seoul
Print_ISBN :
978-89-950038-9-3
Electronic_ISBN :
978-89-93215-01-4
Type :
conf
DOI :
10.1109/ICCAS.2008.4694266
Filename :
4694266
Link To Document :
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