Analysis of Mode Mizing Phenomenon in the Empirical Mode Decomposition Method
Empirical mode decomposition (EMD) can adaptively separate the intrinsic oscillatory modes of signals into a finite number of intrinsic mode functions (IMFs). IMFs will lose their physical meaning when mode mixing phenomenon occurs. In this paper, we first analyze the relationship between mode mixing and intermittency in signals. We then introduce a new type of mode mixing which is not caused by intermittency in signals. Finally, we argue that the time-varying extrema sampling rate is the essential reason of mode mixing.
empirical mode decomposition (EMD) mode mizing eztrema samplings Hilbert-Huang transform (HHT)
Yanli Yang Jiahao Deng Caipeng Wu
National Key Laboratory of Mechatronic Engineering & Control Beijing Institute of Technology Beijing 100081 China
国际会议
Second International Symposium on Information Science and Engineering(第二届信息科学与工程国际会议)
上海
英文
553-556
2009-12-26（万方平台首次上网日期，不代表论文的发表时间）