• DocumentCode
    3446651
  • Title

    Empirical mode decomposition with wavelet de-noising

  • Author

    Zhang, Yong-De ; Hou, Meng ; Liu, Zeng-Li ; Xie, Ping

  • Author_Institution
    Fac. of Inf. Eng. & Autom., Kunming Univ. of Sci. & Technol., Kunming, China
  • Volume
    1
  • fYear
    2010
  • fDate
    29-31 Oct. 2010
  • Firstpage
    183
  • Lastpage
    186
  • Abstract
    In order to solve the signal during transmission on the external mixture of noise, this paper presents the wavelet de-noising based on empirical mode decomposition (EMD), with Wu and others view that the previous order intrinsic mode function (IMF) components need for the wavelet de-noising, and with the wavelet threshold de-noising method and directly remove the high frequency components of EMD de-noising results compared, by using some objective criteria as the main criteria to evaluate the quality of signal recovery, the results show that the method of wavelet de-noising based on EMD is very effective and stable.
  • Keywords
    signal denoising; wavelet transforms; empirical mode decomposition; intrinsic mode function; signal recovery; wavelet threshold denoising; Noise reduction; Signal to noise ratio; EMD; IMF; MSE; SNR; wavelet denoising;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Computing and Intelligent Systems (ICIS), 2010 IEEE International Conference on
  • Conference_Location
    Xiamen
  • Print_ISBN
    978-1-4244-6582-8
  • Type

    conf

  • DOI
    10.1109/ICICISYS.2010.5658649
  • Filename
    5658649