Empirical mode decomposition using variable filtering with time scale calibrating  

作　　者：Yuan Ye Mei Wenbo Wu Siliang Yuan Qi 

机构地区：[1]School of Information Science and Technology, Beijing Inst. of Technology, Beijing 100081, P. R. China [2]School of Industrial Design and Information Engineering, Beijing Inst. of Clothing Technology, Beijing 100029, P. R. China [3]The Science and Technology Committee of China Aerospace Science and Industry Corporation, Beijing 100854, P. R. China

出　　处：《Journal of Systems Engineering and Electronics》2008年第6期1076-1081,共6页系统工程与电子技术（英文版）

基　　金：supported by the National Natural Science Foundation of China (60472021).

摘　　要：A novel and efficient method for decomposing a signal into a set of intrinsic mode functions （IMFs） and a trend is proposed. Unlike the original empirical mode decomposition （EMD）, which uses spline fits to extract variations from the signal by separating the local mean from the fluctuations in the decomposing process, this new method being proposed takes advantage of the theory of variable finite impulse response （FIR） filtering where filter coefficients and breakpoint frequencies can be adjusted to track any peak-to-peak time scale changes. The IMFs are results of a multiple variable frequency response FIR filtering when signals pass through the filters. Numerical examples validate that in contrast with the original EMD, the proposed method can fine-tune the frequency resolution and suppress the aliasing effectively.A novel and efficient method for decomposing a signal into a set of intrinsic mode functions （IMFs） and a trend is proposed. Unlike the original empirical mode decomposition （EMD）, which uses spline fits to extract variations from the signal by separating the local mean from the fluctuations in the decomposing process, this new method being proposed takes advantage of the theory of variable finite impulse response （FIR） filtering where filter coefficients and breakpoint frequencies can be adjusted to track any peak-to-peak time scale changes. The IMFs are results of a multiple variable frequency response FIR filtering when signals pass through the filters. Numerical examples validate that in contrast with the original EMD, the proposed method can fine-tune the frequency resolution and suppress the aliasing effectively.

关 键 词：empirical mode decomposition variable FIR filtering time scale calibrating. 

分 类 号：TN91[电子电信—通信与信息系统]