信号的多分辨经验模分解方法可以解释为以信号极值特征尺度为度量的时空滤波过程。

The multiresolution empirical mode decomposition method of signal can be interpreted as spatial filtering based on the signal's extremum characteristic scale.

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非线性，非平稳的时间序列经过经验模分解，可以得到一组内模函数和一个基本的趋势项。

Nonlinear and nonstationary time series are decomposed into a series of instrinsic mode functions and a residual trend item by the empirical mode decomposition (EMD).

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非线性，非平稳的时间序列经过经验模分解，可以得到一组内模函数和一个基本的趋势项。

Nonlinear and nonstationary time series are decomposed into a series of instrinsic mode functions and a residual trend item by the empirical mode decomposition (EMD).

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