The study of the intermittency test algorithm to eliminate mode mixing

摘要：

Hilbert-Huang Transform (HHT) is a new data analysis method presented by Norden E. Huang. HHT theory is considered as a great breakthrough of linear and stationary spectrum analysis based on Fourier transform in recent years. It is based on the signals local characteristics, especially adaptive for the analysis of the non-linear and non-stationary signals which frequency varies with time. One of the major problems of the HHT method is the appearance of mode mixing. Mode mixing is defined as an Intrinsic Mode Function (IMF) including oscillations of dramatically disparate scales, or a component of a similar scale residing in different IMFs. It is a result of signal intermittency. This paper studies the mode mixing problem, discusses the multicomponent signal model, establishes one kind of the intermittency test algorithm, and gives the simulation examples. The simulation results show that the intermittency test algorithm is feasible and effective for the intermittency signals.

关键词： intermittency test mode mixing HHT EMD

作者: Li Jingsong Liu Quan Su Hang

作者单位: School of Information Engineering Wuhan University of Technology Wuhan, China

会议类型: 国际会议

会议名称: 2011 4th International Congress on Image and Signal Processing(第四届图像与信号处理国际学术会议 CISP 2011)

会议地点: 上海

会议语种:英文

页码: 2410-2413

在线出版日期: 2011-10-15（万方平台首次上网日期，不代表论文的发表时间）