Improved EMD Based on Piecewise Cubic Hermite Interpolation and Mirror Extension  

作　　者：ZHANG Xuejun HUO Yan WAN Dongsheng 

机构地区：[1]College of Electronic and Optical Engineering,Nanjing University of Posts and Telecommunications,Nanjing 210023,China [2]Nation・Local Joint Project Engineering Laboratory of RF Integration and Micropackage,Nanjing 210023,China

出　　处：《Chinese Journal of Electronics》2020年第5期899-905,共7页电子学报（英文版）

基　　金：supported by the National Natural Science Foundation of China(No.61271334)。

摘　　要：This paper proposes an improved Empirical mode decomposition(EMD)method piecewise cubic hermite interpolation and mirror extension.Firstly,mirror expansion method is used to expand preliminary signal endpoint;then the piecewise cubic Hermite interpolation algorithm is applied to obtain the envelopes.Finally Intrinsic mode functions(IMFs)are obtained through improved EMD(MPC-HEMD).Through the analysis on Simulation signals and Electroencephalogram(EEG)signals,we found that the new method was better than the traditional method.

关 键 词：Common spatial pat tern EEG signal Empirical mode decomposition Feature extraction Mirror expansion Piecewise cubic Hermite interpolation. 

分 类 号：TN911.7[电子电信—通信与信息系统]