| 基于能量估计的小波阈值与经验模态分解相结合的滤波方法研究 |
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| 作者姓名： | Li X Wang H Wang Y Zhao F |
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| 作者单位： | 燕山大学生物医学工程研究所; |
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| 摘 要： | 本文针对基于经验模态分解(EMD)的时空滤波器存在的固有模态函数分量中频率混叠交叉,导致有用信号与噪声一起被滤除的问题,结合小波在时间、尺度两域表征信号局部特征的特性,提出了一种基于能量估计实现EMD分解层数确定,小波变换阈值处理与EMD相结合的时空滤波方法。该方法既利用小波变换多分辨率的特性,又结合EMD的自适应分解与希尔伯特(Hilbert)谱分析中瞬时频率与能量意义的关系,从而解决了有用信号在滤波时被削弱的问题。以MIT/BIH标准心电数据库数据为对象的实验结果表明,该方法对于生理信号这一类强噪声下的微弱信号是一种有效的数据处理方法。
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| 关 键 词： | 滤波 小波变换 经验模态分解 希尔伯特变换 |
Empirical mode of combination of the wavelet threshold filtering and empirical mode decomposition (EMD) based on energy estimate |
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| Li X,Wang H,Wang Y,Zhao F.Empirical mode of combination of the wavelet threshold filtering and empirical mode decomposition (EMD) based on energy estimate[J].Journal of Biomedical Engineering,2011,28(6):1098-1102. |
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| Authors: | Li Xin Wang Huihui Wang Yueru Zhao Fangfang |
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| Institution: | Li Xin Wang Huihui Wang Yueru Zhao Fangfang (Institute of Biomedical Engineering,Yanshan University,Qinhuangdao 066004,China) |
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| Abstract: | According to the frequency overlapping of intrinsic mode function(IMF) based on the temporal and spatial filtering of empirical mode decomposition(EMD),which will lead to the question of useful signals and noises filtered together,we proposed a method that numbers of IMF is determined by energy estimate,temporal and spatial filtering combing wavelet threshold and EMD integrating wavelet local signal characteristics of time and scale domain.This method not only used multi-resolution wavelet transform feature... |
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| Keywords: | Filter Wavelet transform Empirical mode decomposition(EMD) Hilbert decomposition |
| 本文献已被 CNKI PubMed 等数据库收录！ |
