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A Method of Time-frequency Analysis Based on Empirical Mode Decomposition

机译:基于经验模态分解的时频分析方法

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摘要

Aimed at the nonlinear and non-stationary signals, a method of time-frequency analysis which is called HHT based on Empirical Mode Decomposition is introduced. This method makes any complicated set of data to be decomposed into a finite and often small number of Intrinsic Mode Functions through Empirical Mode Decomposition. So the instantaneous frequency defined by Hilbert transform has a meaning. The validity of the method is displayed through experiment. Then it is compared with the available time-frequency analysis methods. Finally, the related problems in this field that need further study are stated.
机译:针对非线性和非平稳信号,提出了一种基于经验模态分解的时频分析方法,即HHT。这种方法可以通过经验模式分解将任何复杂的数据集分解为有限的且通常为少量的固有模式函数。因此,希尔伯特变换定义的瞬时频率具有一定的意义。通过实验证明了该方法的有效性。然后将其与可用的时频分析方法进行比较。最后,阐述了该领域中需要进一步研究的相关问题。

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