Optimal averages for nonlinear signal decompositions—Another alternative for empirical mode decomposition
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- 作者：Feng Zhoua ; c ; Lijun Yangb ; Haomin Zhouc ; Lihua Yanga ; mcsylh@mail.sysu.edu.cn" class="auth_mail" title="E-mail the corresponding author
- 关键词：Empirical mode decomposition (EMD) ; Time&ndash ; frequency analysis ; Intrinsic mode functions (IMFs) ; Optimization
- 刊名：Signal Processing
- 出版年：2016
- 出版时间：April 2016
- 年：2016
- 卷：121
- 期：Complete
- 页码：17-29
- 全文大小：747 K
文摘
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Let Mx be the average of a given signal x, it has been proved that M(x−Mx)=0, at some extent.
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Do not need to predefined the class of functions, to calculate the average of a signal.
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The model we proposed can avoid the global influence and robust to noise perturbations.
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