Boundary-processing-technicque in EMD method and Hilbert transform

被引:73
|
作者
Deng, YJ
Wang, W [1 ]
Qian, CC
Wang, Z
Dai, DJ
机构
[1] Ocean Univ Qingdao, Phys Oceanog Lab, Qingdao 266003, Peoples R China
[2] Ocean Univ Qingdao, Network Ctr, Qingdao 266003, Peoples R China
来源
CHINESE SCIENCE BULLETIN | 2001年 / 46卷 / 11期
关键词
EMD method; neural network; Hilbert spectrum;
D O I
10.1007/BF02900475
中图分类号
O [数理科学和化学]; P [天文学、地球科学]; Q [生物科学]; N [自然科学总论];
学科分类号
07 ; 0710 ; 09 ;
摘要
Bg virtue of neural network, a series of signals is extended forward and backward, as a result, two additional maxima and two additional minima are obtained at both ends of the original data set, with which the EMD decomposition can be exactly achieved with cubic spline interpolation. Meanwhile, by using of neural network every IMF component can also be extended forward and backward, which effectively restrains the end effect, thus the veracious Hilbert spectra are achieved. Verifications of the sample signals and the actual surface elevation of sea waves show that the present extension method is relatively accurate.
引用
收藏
页码:954 / 961
页数:8
相关论文
共 50 条
  • [41] Hilbert-Huang transform application in vortex meter signal processing
    Wojcik, Amadeusz
    Pankanin, Grzegorz
    [J]. PRZEGLAD ELEKTROTECHNICZNY, 2012, 88 (10A): : 37 - 45
  • [42] Hilbert-Huang Transform and its Application in Seismic Signal Processing
    Beresik, Roman
    [J]. 2016 NEW TRENDS IN SIGNAL PROCESSING (NTSP), 2016, : 9 - 14
  • [43] An approach to the 2D Hilbert Transform for image processing applications
    Lorenzo-Ginori, Juan Valentin
    [J]. IMAGE ANALYSIS AND RECOGNITION, PROCEEDINGS, 2007, 4633 : 157 - 165
  • [44] Research on Telemetry Vibration Signal Processing by Hilbert-Huang Transform
    Dong Yu-hua
    Xiao Ying
    Xu Shuang
    [J]. PROCEEDINGS OF THE 2009 2ND INTERNATIONAL CONGRESS ON IMAGE AND SIGNAL PROCESSING, VOLS 1-9, 2009, : 4259 - 4262
  • [45] Features of a combined FFT and Hilbert transform for phase Doppler signal processing
    Lehmann, P
    Schombacher, EH
    [J]. MEASUREMENT SCIENCE AND TECHNOLOGY, 1997, 8 (04) : 409 - 421
  • [46] Boundary extension for Hilbert-Huang transform inspired by gray prediction model
    He, Zhi
    Shen, Yi
    Wang, Qiang
    [J]. SIGNAL PROCESSING, 2012, 92 (03) : 685 - 697
  • [47] Incipient fault classification using a combination of S-transform and Hilbert transform method
    Zhai Jin-qian
    Chen Min-you
    Hu Gang
    Lang Zi-qiang
    Huang Yong
    [J]. INTERNATIONAL TRANSACTIONS ON ELECTRICAL ENERGY SYSTEMS, 2013, 23 (01): : 122 - 134
  • [48] Illusive component identification method in noisy signal EMD processing
    Li, Ji-Yong
    Li, Shun-Ming
    Chen, Xiao-Hong
    Jiang, Xing-Xing
    [J]. Hangkong Dongli Xuebao/Journal of Aerospace Power, 2014, 29 (10): : 2486 - 2492
  • [49] Using hilbert transform in diagnostic of composite materials by impedance method
    Eremenko, Volodymyr
    Zaporozhets, Artur
    Babak, Vitalii
    Isaienko, Volodymyr
    Babikova, Kateryna
    [J]. Periodica polytechnica Electrical engineering and computer science, 2020, 64 (04): : 334 - 342
  • [50] Nonlinearity of abnormal waves by the Hilbert-Huang Transform method
    Veltcheva, Albena
    Guedes Soares, C.
    [J]. OCEAN ENGINEERING, 2016, 115 : 30 - 38