①华南理工大学电子与信息学院 广州 510641;②广西师范大学物理与信息学院 桂林 541004;③西澳大学机械工程学院 珀斯 澳大利亚 WA 6009
Methods for Mitigation of End Effect in Empirical Mode Decomposition: A Quantitative Comparison
Hu Wei-ping①; Mo Jia-ling②; Gong Ying-ji②; Zhao Fang-wei③; Du Ming-hui①
①Department of Electronics and Communication Engineering, South China University of Technology, Guangzhou 510641, China; ②College of Physics and Information Technology, Guangxi Normal University, Guilin 541004, China; ③School of Mechanical Engineering, University of Western Australia, Perth, WA 6009, Australia
Abstract：One of the most important problems in Empirical Mode Decomposition (EMD) applications is mitigation of the end effect. Except Huang’s patented approach several methods have been proposed. However, a final solution for this problem is yet to be found. In this paper five common end effect mitigation methods of EMD have been investigated, including linear extending method, polynomial fitting extending method, mirror extrema extending method, RBF neural network prediction method and AR prediction method. With a quasi-periodical signal and a stochastic signal as the test bed a quantitative test method was proposed for elimination of the mode confusion effect of EMD. The five end effect mitigation methods were quantitatively evaluated and the comparison shows that mirror extrema extending method is the best option among the five methods.
胡维平; 莫家玲; 龚英姬; 赵方伟; 杜明辉. 经验模态分解中多种边界处理方法的比较研究[J]. 电子与信息学报, 2007, 29(6): 1394-1398 .
Hu Wei-ping; Mo Jia-ling<; Gong Ying-ji; Zhao Fang-wei; Du Ming-hui. Methods for Mitigation of End Effect in Empirical Mode Decomposition: A Quantitative Comparison. , 2007, 29(6): 1394-1398 .
2007, Vol. 29 
