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Research on the intrinsic mode function (IMF) criterion in EMD method

机译:EMD方法中固有模式函数(IMF)准则的研究

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摘要

Empirical mode decomposition (EMD) is a self-adaptive signal-processing method, which has been applied in non-stationary signal-processing successfully. Aiming at the problem of intrinsic mode function (IMF) criterion in the EMD method, the energy difference tracking method is proposed in this paper according to the integrity and orthogonality of the IMFs and used to define the IMF in the sifting process. By analyzing the simulated and actual signals, it is confirmed that the IMFs defined by the energy difference tracking method meet the orthogonality condition and reflect the intrinsic and real information of the analysed signal. By comparing the energy difference tracking method with the Cauchy-type convergence criterion, it is demonstrated that the IMFs obtained by the energy difference tracking method can reflect the intrinsic information included in the signal more clearly and their index of orthogonal (IO) is smaller.
机译:经验模态分解(EMD)是一种自适应信号处理方法,已成功地应用于非平稳信号处理中。针对EMD方法中固有模式函数(IMF)准则的问题,根据IMF的完整性和正交性,提出了一种能量差跟踪方法,并在筛选过程中定义了IMF。通过分析模拟信号和实际信号,可以确认由能量差跟踪方法定义的IMF满足正交性条件,并反映了分析信号的内在信息和真实信息。通过将能量差跟踪方法与柯西式收敛准则进行比较,证明了通过能量差跟踪方法获得的IMF可以更清晰地反映信号中包含的本征信息,并且其正交指数(IO)较小。

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