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Distinction of two different non-stationary signals with Hilbert-Huang transform

机译:用希尔伯特-黄变换区分两个不同的非平稳信号

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摘要

In order to distinguish the difference of non-stationary signals, the novel time-frequency analysis approach, i.e. Hilbert-Huang transform (HHT), is applied in this paper. Firstly, Hilbert-Huang transform is briefly introduced. Secondly, two different non-stationary signals are described in Empirical Mode Decomposition (EMD) and Hilbert spectra. With these results, the two signals that looked apparently similar in time waves are distinctly different from each other. It is proved that HHT is effective for the purpose of distinction of non-stationary signals.
机译:为了区分非平稳信号的差异,本文采用了一种新型的时频分析方法,即希尔伯特-黄变换(HHT)。首先简要介绍了希尔伯特-黄变换。其次,在经验模式分解(EMD)和希尔伯特频谱中描述了两种不同的非平稳信号。有了这些结果,在时间波上看似相似的两个信号就彼此明显不同。已经证明,HHT对于区分非平稳信号是有效的。

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