An Improved Empirical Mode Decomposition

被引:0
|
作者
Yang, Zhihua [1 ]
Yang, Lihua [2 ]
机构
[1] Guangdong Univ Business Studies, Informat Sci & Technol Sch, Guangzhou 510320, Guangdong, Peoples R China
[2] Sun Yat Sen Univ, Sch Math & Comp Sci, Guangzhou 510275, Peoples R China
基金
中国国家自然科学基金;
关键词
Empirical Mode Decomposition (EMD); Hilbert-Huang Transform(HHT); Intrinsic Mode Function(IMF);
D O I
暂无
中图分类号
TP18 [人工智能理论];
学科分类号
081104 ; 0812 ; 0835 ; 1405 ;
摘要
Based on a detailed discussion regarding the attributes of so-called ride waves and the shortages of the classical empirical mode decomposition, this paper presents an improved method. A key point of the proposed method is that the ride waves in a signal should been first removed as independent components before the classical empirical mode decomposition is conducted. Experiments have shown that the proposed method makes much physical sense and the final presentation-Hilbert spectrum gives sharper localication both on time and frequency fields.
引用
下载
收藏
页码:3695 / +
页数:2
相关论文
共 50 条
  • [21] Fault Diagnosis for Gearbox Based on Improved Empirical Mode Decomposition
    Zhao, Ling
    Huang, Darong
    Qin, Yi
    SHOCK AND VIBRATION, 2015, 2015
  • [22] Iris recognition based on improved empirical mode decomposition method
    Li, Huan-Li
    Guo, Li-Hong
    Chen, Tao
    Yang, Li-Mei
    Wang, Xin-Zui
    Dong, Yue-Fang
    Jilin Daxue Xuebao (Gongxueban)/Journal of Jilin University (Engineering and Technology Edition), 2013, 43 (01): : 198 - 205
  • [23] An improved empirical mode decomposition method for multicomponent signal represntation
    Jiang, Li
    Li, Lin
    Dong, Hui
    Zhendong yu Chongji/Journal of Vibration and Shock, 2009, 28 (04): : 51 - 53
  • [24] Improved Wind Speed Prediction Using Empirical Mode Decomposition
    Zhang, Yagang
    Zhang, Chenhong
    Sun, Jingbin
    Guo, Jingjing
    ADVANCES IN ELECTRICAL AND COMPUTER ENGINEERING, 2018, 18 (02) : 3 - 10
  • [25] An improved empirical mode decomposition by using dyadic masking signals
    Yang, Yanli
    Deng, Jiahao
    Kang, Dali
    SIGNAL IMAGE AND VIDEO PROCESSING, 2015, 9 (06) : 1259 - 1263
  • [26] Improved Extrema Detection Algorithm for the Generalized Empirical Mode Decomposition
    Kovalenko, P. Y.
    Bliznyuk, D., I
    Berdin, A. S.
    2016 2ND INTERNATIONAL CONFERENCE ON INDUSTRIAL ENGINEERING, APPLICATIONS AND MANUFACTURING (ICIEAM), 2016,
  • [27] Improved Empirical Mode Decomposition Based on Harmonic Wavelet Filter
    Liu, Yang
    Liu, Yong
    Yu, Shunjing
    Yang, Jiefeng
    MEASUREMENT TECHNOLOGY AND ITS APPLICATION, PTS 1 AND 2, 2013, 239-240 : 946 - 949
  • [28] An Improved Empirical Mode Decomposition of Electroencephalogram Signals for Depression Detection
    Shen, Jian
    Zhang, Xiaowei
    Wang, Gang
    Ding, Zhijie
    Hu, Bin
    IEEE TRANSACTIONS ON AFFECTIVE COMPUTING, 2022, 13 (01) : 262 - 271
  • [29] The prediction for London gold price: improved empirical mode decomposition
    Hua, Qiuling
    Jiang, Tingfeng
    APPLIED ECONOMICS LETTERS, 2015, 22 (17) : 1404 - 1408
  • [30] An improved genetic algorithm for optimizing ensemble empirical mode decomposition method
    Zhang, Dabin
    Cai, Chaomin
    Chen, Shanying
    Ling, Liwen
    SYSTEMS SCIENCE & CONTROL ENGINEERING, 2019, 7 (02) : 53 - 63