太赫兹科学与电子信息学报2016，Vol.14Issue(5)：768-770,777,4.DOI:10.11805/TKYDA201605.0768
添加自适应高频谐波的改进经验模态分解算法
Empirical Mode Decomposition adding self-adaption high frequency harmonic wave
甘一鸣 1任伟基 1许家琛1
作者信息
- 1. 北京理工大学信息与电子学院，北京 100081
- 折叠
摘要
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.关键词
经验模态分解/模态混叠/高频谐波Key words
Empirical Mode Decomposition/mode aliasing/high frequency harmonic wave分类
信息技术与安全科学引用本文复制引用
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):768-770,777,4.
