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Fast convergence algorithm for adaptive IIR notch filter using combination of genetic search and variable step-size algorithm
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.
Fast convergence algorithm for adaptive IIR notch filter using combination of genetic search and variable step-size algorithm
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.
Fast convergence algorithm for adaptive IIR notch filter using combination of genetic search and variable step-size algorithm
Benjangkaprasert, C. (author) / Phuvasitkul, S. (author) / Limwong, W. (author) / Janchitrapongvej, K. (author)
2003-01-01
263735 byte
Conference paper
Electronic Resource
English
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