基于遗传搜索和变步长算法的自适应IIR陷波滤波器快速收敛算法

Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems Pub Date : 2003-12-19 DOI:10.1109/ITSC.2003.1252626

C. Benjangkaprasert, S. Phuvasitkul, W. Limwong, K. Janchitrapongvej

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引用次数: 1

摘要

本文提出了一种将遗传算法与变步长算法相结合的二阶自适应IIR陷波滤波器。新算法的目标是优化滤波系数。计算机仿真结果表明，新算法具有收敛速度快、均方误差小、噪声鲁棒性好等优点。此外，该算法还可用于消除心电图信号记录中50hz电源线干扰。

本文章由计算机程序翻译，如有差异，请以英文原文为准。

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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.

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Proceedings of the 2003 IEEE International Conference on Intelligent Transportation Systems

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