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Comparison study of two commonly used methods for envelope fitting of empirical mode decomposition

机译:两种常用方法对经验模式分解的两个常用方法的比较研究

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Empirical mode decomposition (EMD) developed by professor Huang N E of NASA is an advanced method for signal analysis and its application scope is extremely widespread. Envelope fitting is a key step of EMD. Therefore, several approaches have been proposed for it and cubic spline interpolation (CSI) and piecewise cubic Hermite interpolation (PCHI) are the two most popular methods. However, it is a lack of a systemic and accurate evaluation for the performance of them. In this paper, they are evaluated by studying the end points effect, the signal reconstruction ability and the computing complexity comparatively. The production of the paper can provide some guidance for the envelope fitting method selection in practical application and the exploitation of new methods in the EMD algorithm.
机译:NASA教授开发的经验模式分解(EMD)是NASA教授的一种先进的信号分析方法,其应用范围非常普遍。 信封拟合是EMD的关键步骤。 因此,已经提出了几种方法,并且立方样条插值(CSI)和分段立方Hermite插值(PCHI)是两个最流行的方法。 但是,它缺乏系统性和准确的评估对它们的性能。 在本文中,通过研究终点效应,信号重建能力和计算复杂性来评估它们。 本文的生产可以在实际应用中提供信封拟合方法选择的一些指导和在EMD算法中的新方法的开发。

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