时间序列信号分解的一种新方法

2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI) Pub Date : 2018-10-01 DOI:10.1109/CISP-BMEI.2018.8633021

Kaiguo Fan, Bojian Xu, Ming Zhang, Mingxing Nan, Jianguo Huang

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引用次数: 0

摘要

因为扩展方法在Huang等人1998年提出的经验模态分解(EMD)中起着非常重要的作用。提出了一种新的基于EMD的多时间序列信号分解方法。该方法对多个时间序列分解进行了验证。我们将结果与n.e. Huang et al.和d.j. Huang et al.的结果进行了比较。对比表明，该方法更可行，精度更高。

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A New Method for Time Series Signal Decomposition

Because extending methods play a very important part in Empirical Mode Decomposition (EMD) given by Huang et al in 1998. One new efficient method for several time series signal decomposition based on EMD is presented in this paper. The method is tested to several time series decompositions. We have compared the results with those of N. E. Huang et al. and D. J. Huang et al. The comparison shows that this method is more feasible and more precise.

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2018 11th International Congress on Image and Signal Processing, BioMedical Engineering and Informatics (CISP-BMEI)

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