| 添加自适应高频谐波的改进经验模态分解算法 |
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| 引用本文： | 甘一鸣,任伟基,许家琛.添加自适应高频谐波的改进经验模态分解算法[J].太赫兹科学与电子信息学报,2016,14(5):768-770. |
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| 作者姓名： | 甘一鸣 任伟基 许家琛 |
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| 作者单位： | School of Information and Electronics，Beijing Institute of Technology，Beijing 100081，China,School of Information and Electronics，Beijing Institute of Technology，Beijing 100081，China and School of Information and Electronics，Beijing Institute of Technology，Beijing 100081，China |
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| 摘 要： | 提出了一种改进的添加自适应高频谐波进行经验模态分解(EMD)的算法，减少了EMD原始算法中频谱混叠现象。通过对原始信号的预处理，自动提取出原始信号中包含的最高频率分量，并根据提取出的频率分量进行高频谐波添加。仿真验证了添加自适应高频谐波的EMD算法，可有效减少EMD算法中频谱混叠现象，同时解决了高频谐波添加中频率难以确定的问题。
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| 关 键 词： | 经验模态分解 模态混叠 高频谐波 |
| 收稿时间： | 2015/6/30 0:00:00 |
| 修稿时间： | 9/8/2015 12:00:00 AM |
Empirical Mode Decomposition adding self-adaption high frequency harmonic wave |
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| GAN Yiming,REN Weiji and XU Jiachen.Empirical Mode Decomposition adding self-adaption high frequency harmonic wave[J].Journal of Terahertz Science and Electronic Information Technology,2016,14(5):768-770. |
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| Authors: | GAN Yiming REN Weiji and XU Jiachen |
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| Abstract: | An improved Empirical Mode Decomposition(EMD) method adding high frequency harmonic wave with self-adaption is put forward, aiming to address the problem of the mode aliasing in the original empirical mode decomposition algorithm. The method tries to extract the highest frequency component of the original signal and adds it to the original signal. The simulation shows that the improved EMD algorithm could solve both the mode aliasing problem and the problem that the frequency of adding wave is difficult to determine. |
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