A New Method for Time Series Signal Decomposition

被引：0
|
作者：
Fan, Kaiguo [1 ,2 ]
Xu, Bojian [1 ]
Zhang, Ming [2 ]
Nan, Mingxing [1 ]
Huang, Jianguo [1 ]
机构：
[1] POB 5136,22 Beiqing Rd, Beijing 100094, Peoples R China
[2] Linyi Univ, Linyi 276000, Shandong, Peoples R China
来源：
2018 11TH INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, BIOMEDICAL ENGINEERING AND INFORMATICS (CISP-BMEI 2018) | 2018年
关键词：
Empirical Mode Decomposition; Hilbert-Huang Transform; Extending Method; Time Series Signal;
D O I：
暂无
中图分类号：
R318 [生物医学工程];
学科分类号：
0831 ;
摘要：
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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页数：4
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