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Empirical Mode Decomposition as a Tree-Structured Filter: A Tutorial View

机译:经验模式分解为树状结构的滤波器:教程视图

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Empirical mode decomposition (EMD) can adaptively decompose multicomponent signals into a finite number of simple oscillatory mode functions termed intrinsic mode functions (IMFs) through a sifting process. In this paper, a tree-structured EMD filter is designed to describe the EMD algorithm. The core element of the EMD filter is called sifting filter which depicts the EMD sifting process of extracting an IMF. As a consequence, the tree-structured EMD filter can make toward a better understanding of the EMD method.
机译:经验模式分解(EMD)可以通过筛选过程将多分量信号自适应地分解为有限数量的称为固有模式函数(IMF)的简单振荡模式函数。本文设计了一种树形结构的EMD滤波器来描述EMD算法。 EMD筛选器的核心元素称为筛选筛选器,它描述了提取IMF的EMD筛选过程。结果,树形结构的EMD滤波器可以更好地理解EMD方法。

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