Absolute Value Empirical Mode Decomposition

摘要：

Empirical mode decomposition (EMD) is a data driven processing algorithm, which applies no predetermined filter. It is able to perfectly analyze the nonlinear and nonstationary signals. In EMD decomposition processing, the mean envelopes is directly subtracted from the signals. This processing may bring a problem that the trend of the signal change is changed in different parts. In this work, we proposed a new method Absolute value Empirical Mode Decomposition (A-EMD) to change this criterion and solve the problem. The A-EMD approach can detect a new set of Intrinsic Mode Functions, which clearly present the location of the wave peaks and can quickly detect the jump points for the jump signals.

关键词： EMD Intrinsic Mode Functions

作者: JianJia Pan YuanYan Tang

作者单位: Department of Computer Science Hong Kong Baptist University Hong Kong Department of Computer and Information Science The University of Macau Macau

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: 2336-2340

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）