| 几种改善EMD端点效应方法的比较研究 |
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| 引用本文： | 祁艳杰,王黎明,杨泽辉,付朝霞.几种改善EMD端点效应方法的比较研究[J].现代电子技术,2013(22):50-52,56. |
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| 作者姓名： | 祁艳杰 王黎明 杨泽辉 付朝霞 |
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| 作者单位： | [1]中北大学信号探测与处理技术研究所,山西太原030051 [2]太原科技大学电子工程学院,山西太原030024 [3]山西财政税务专科学校,山西太原030024 [4]山西省委党校信息网络教研部,山西太原030006 |
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| 基金项目： | 国家“973”计划资助项目（2011CB311804）;国家自然科学基金资助项目（61227003;61171179;11247244;61071193）;山西省自然科学基金（2013011017-8）;山西省软科学研究项目（2013041053-01） |
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| 摘 要： | 经验模态分解(EMD)的一个关键问题是改善端点效应。目前工程上已经提出了多种处理方法。在此对端点镜像方法、多项式拟合法、极值延拓法、平行延拓法和边界局部特征尺度延拓法等5种方法进行对比研究,利用分解信号与原信号的相似系数、分解信号与原信号的平均相对误差以及算法的运行时间作为端点处理方法的评价指标。仿真结果表明,极值延拓法是处理准周期信号的相对较好的EMD端点效应处理方法。
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| 关 键 词： | 经验模态分解 端点效应 评价指标 相似系数 平均相对误差 |
Study on methods for improving EMD end effect |
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| QI Yanjie,WANG Liming,YANG Zehui,FU Zhaoxia.Study on methods for improving EMD end effect[J].Modern Electronic Technique,2013(22):50-52,56. |
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| Authors: | QI Yanjie WANG Liming YANG Zehui FU Zhaoxia |
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| Affiliation: | 1. Institute of Signal Capturing ＆ Processing Technology, North University of China, Taiyuan 030051, China; 2. College of Electronic Engineering, Taiyuan University of Science and Technology, Taiyuan 030024, China; 3. Shanxi Finance and Taxation College, Taiyuan 030024, China;4. Party school of shanxi provincial committee of the C.P.C, Taiyuan 030006, China) |
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| Abstract: | One of the most important problems in empirical mode decomposition（EMD）applications is the improvement of the end effect. Several methods for improving the end effect are proposed. Five common methods（mirror image method,polyno-mial fitting method,extremum extending method,parallel extending method and boundary local characteristic scale extending method） are investigated in this paper. For evaluating the end effect,the similarity coefficient and average relative error of de-composed signal and original signal,and the operation time are taken as evaluation criterions of the end processing methods. Simulation results indicate that the extremum extending method is the better option for quasi periodic signal. |
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| Keywords: | empirical mode decomposition end effect evaluation criterion similarity coefficient average relative error |
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