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基于核方法的工频干扰消除算法
引用本文:郭艳菊,陈 雷,陈国鹰,李 锵.基于核方法的工频干扰消除算法[J].计算机应用研究,2013,30(4):1123-1126.
作者姓名:郭艳菊  陈 雷  陈国鹰  李 锵
作者单位:1. 河北工业大学 信息工程学院, 天津 300401; 2. 天津商业大学 信息工程学院, 天津 300134; 3. 天津大学 电子信息工程学院, 天津 300072
基金项目:国家自然科学基金资助项目(60802049)
摘    要:提出了一种新的基于核方法的工频干扰消除算法。利用构造参考信号的方法,将工频干扰消除问题转换为盲信号分离问题。通过核方法向高维特征空间的数据映射克服信号采集传感器的非线性畸变效应,利用信号的时间可预测性实现对输入信号的分离,从而得到不含工频干扰的有用信号。仿真实验结果表明,算法能够有效克服传感器的非线性畸变影响,很好地消除心电信号和地震信号中的工频干扰。

关 键 词:核方法  盲信号分离  工频干扰  非线性畸变  时间可预测性

Power interference removal algorithm based on kernel method
GUO Yan-ju,CHEN Lei,CHEN Guo-ying,LI Qiang.Power interference removal algorithm based on kernel method[J].Application Research of Computers,2013,30(4):1123-1126.
Authors:GUO Yan-ju  CHEN Lei  CHEN Guo-ying  LI Qiang
Affiliation:1. School of Information Engineering, Hebei University of Technology, Tianjin 300401, China; 2. School of Information Engineering, Tianjin University of Commerce, Tianjin 300134, China; 3. School of Electronic Information Engineering, Tianjin University, Tianjin 300072, China
Abstract:This paper proposed a novel power interference removal algorithm based on kernel method. The algorithm transformed power interference removal problem into blind signal separation problem using the method of constructing objective signals. It could conquer the nonlinear aberrance coming from signal collection sensors by data mapping using kernel method. It could get the useful signal without power interference removal using the temporal predictability for signal separation. Simulation results show that the proposed algorithm can conquer the nonlinear aberrance of sensor and remove the power interference in seism signal and electrocardiogram signal efficiently.
Keywords:kernel method  blind signal separation  power interference removal  nonlinear aberrance  temporal predictability
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