• DocumentCode
    441760
  • Title

    Denoising realization based on wavelet transform modulus maximum

  • Author

    Dong, Ze ; Xie, Hua ; Han, Pu ; Wang, Ning-Ling ; Jia, Zeng-Zhou

  • Author_Institution
    Dept. of Autom., North China Electr. Power Univ., Baoding, China
  • Volume
    3
  • fYear
    2005
  • fDate
    18-21 Aug. 2005
  • Firstpage
    1472
  • Abstract
    Based on different properties of signals and noise with wavelet transform, the wavelet transform modulus maximum is introduced to eliminate the noise. It includes Mallat alternative projection algorithm and denoising algorithm based on modulus maximum in wavelet field. The first method is introduced to remove the modulus maximum that decreases with increasing scale and reserve those to the contrary, and then, the remainder are reconstructed to the original signal so as to denoise. The wavelet field modulus maximum is realized by obtaining modulus maximum according to adhoc algorithm and compute its definition to get the wavelet coefficients; Finally, the singularity is reconstructed through inverse wavelet transform. Experiment result shows that two methods suppress the noise effectively.
  • Keywords
    signal denoising; wavelet transforms; Mallat alternative projection algorithm; adhoc algorithm; denoising algorithm; inverse wavelet transform; noise suppression; wavelet coefficient; wavelet transform modulus maximum; Automation; Band pass filters; Continuous wavelet transforms; Convolution; Noise reduction; Projection algorithms; Signal processing; Wavelet analysis; Wavelet coefficients; Wavelet transforms; alternative; modulus maximum; projection algorithm; wavelet field; wavelet transform;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Machine Learning and Cybernetics, 2005. Proceedings of 2005 International Conference on
  • Conference_Location
    Guangzhou, China
  • Print_ISBN
    0-7803-9091-1
  • Type

    conf

  • DOI
    10.1109/ICMLC.2005.1527176
  • Filename
    1527176