| 经验模态分解的分段二次算法 |
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| 引用本文： | 张敏聪,朱开玉,李从心.经验模态分解的分段二次算法[J].上海大学学报(英文版),2008,12(5):444-449. |
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| 作者姓名： | 张敏聪 朱开玉 李从心 |
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| 摘 要： | A new algorithm, named segmented second empirical mode decomposition （EMD） algorithm, is proposed in this paper in order to reduce the computing time of EMD and make EMD algorithm available to online time-frequency analysis. The original data is divided into some segments with the same length. Each segment data is processed based on the principle of the first-level EMD decomposition. The algorithm is compared with the traditional EMD and results show that it is more useful and effective for analyzing nonlinear and non-stationary signals.
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| 关 键 词： | 经验模态 分解方法 分段二次算法 电子技术 |
| 收稿时间： | 2007-01-17 |
Segmented second algorithm of empirical mode decomposition |
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| Min-cong Zhang,Kai-yu Zhu,Cong-xin Li.Segmented second algorithm of empirical mode decomposition[J].Journal of Shanghai University(English Edition),2008,12(5):444-449. |
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| Authors: | Min-cong Zhang Kai-yu Zhu Cong-xin Li |
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| Institution: | National Die and Mold CAD Engineering Research Center, Shanghai Jiaotong University, Shanghai 200030, P. R. China |
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| Abstract: | A new algorithm, named segmented second empirical mode decomposition (EMD) algorithm, is proposed in this paper in order to reduce the computing time of EMD and make EMD algorithm available to online time-frequency analysis. The original data is divided into some segments with the same length. Each segment data is processed based on the principle of the first-level EMD decomposition. The algorithm is compared with the traditional EMD and results show that it is more useful and effective for analyzing nonlinear and non-stationary signals. |
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| Keywords: | segmented second empirical mode decomposition (EMD) algorithm time-frequency analysis intrinsic mode functions (IMF) first-level decomposition |
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