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Volume 29 Issue 6
Jan.  2011
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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[J]. Journal of Electronics & Information Technology, 2007, 29(6): 1394-1398. doi: 10.3724/SP.J.1146.2005.01326
Citation: 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[J]. Journal of Electronics & Information Technology, 2007, 29(6): 1394-1398. doi: 10.3724/SP.J.1146.2005.01326

Methods for Mitigation of End Effect in Empirical Mode Decomposition: A Quantitative Comparison

doi: 10.3724/SP.J.1146.2005.01326
  • Received Date: 2005-10-24
  • Rev Recd Date: 2006-07-20
  • Publish Date: 2007-06-19
  • One of the most important problems in Empirical Mode Decomposition (EMD) applications is mitigation of the end effect. Except Huangs 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.
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  • Huang N E, Shen Z, and Long S R. The empirical mode decomposition and the Hilbert spectrum for nonlinear and nonstationary time series analysis [J].Proc. R. Soc. Lond. A.1998, 454:903-995[2]Huang N E. Computer implicated empirical mode decomposition method, apparatus, and article of manufacture [P].U.S. Patent Pending 1996.[3]黄大吉, 赵进平, 苏纪兰等. 希尔伯特-黄变换的端点延拓海洋学报[J]..2003, 25(1):1-11浏览[4]邓拥军, 王伟, 钱成春等. EMD方法及Hilbert变换中边界问题的处理[J]. 科学通报, 2001, 46(3): 257-263.[5]张郁山, 梁建文, 胡垏贤. 应用自回归模型处理EMD方法中的边界问题[J]. 自然科学进展, 2003, 13(10): 1054-1059.[6]刘慧婷, 张旻, 程家兴. 基于多项式拟合算法的EMD端点问题的处理[J]. 计算机工程与应用. 2004, 40(16): 84-86.[7]Flandrin P, Gabriel Rilling G, and Goncalves P. Empirical mode decompositon as a filter bank[J].IEEE Signal Processing Letters.2004, 11(2):112-114[8]Wu Z and Huang N E. A study of the characteristics of white noise using the empirical mode decomposition method. Proc. R. Soc. London A, 2002, submitted for publication.[9]Chen Qiu-hui, Huang Norden, Riemenschneider S, and Xu Yuesheng. A B-spline approach for empirical mode decompositions[J].Advances in Computational Mathematics.2006, 24(1-4):171-195[10]陈忠, 郑时雄. EMD信号分析方法边缘效应的分析[J]. 数据采集与处理. 2003, 18(3): 114-118.[11]Deering R and Kaiser J F. The use of a masking signal to improve empirical mode decomposition[J].IEEE International Conference on Acoustics, Speedh, and Signal Processing (ICASSP05). Philadelphia, Pennsylvania, USA, March.2005, Vol.4:485-488[12]程军圣, 于德介, 杨宇. 基于EMD的信号瞬时特征的小波分析方法[J]. 地震工程与工程振动, 2004, 24(2): 181-186.
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