• DocumentCode
    3245211
  • Title

    Research on mine earthquake location method based on wavelet soft threshold filtering

  • Author

    Xue, Qiang ; Cheng-Cai Cai ; Wang, Shuo-He

  • Author_Institution
    Sch. of Electr. & Electron. Eng., Shijiazhuang Tiedao Univ., Shijiazhuang, China
  • fYear
    2012
  • fDate
    15-17 July 2012
  • Firstpage
    285
  • Lastpage
    289
  • Abstract
    In relation to the problems of time variability and the complexity of mine earthquake signal while blasting mining, a kind of wavelet soft threshold filter method is proposed. In this paper, the signal before mine earthquake wave arrival time is considered as noise, and is used to determine the wavelet threshold. Then Db4 wavelet is chosen as the wavelet basis function for the wavelet soft threshold filtering. The experimental results show that the noise can be filtered out effectively, and this ensures that the mine earthquake signals at the arrival time is smooth and monotonous, which improves the accuracy of the positioning algorithm.
  • Keywords
    earthquakes; filtering theory; mining; noise; seismometers; wavelet transforms; arrival time; blasting mining; mine earthquake location method; mine earthquake signal complexity; mine earthquake signals; positioning algorithm; time variability problems; wavelet basis function; wavelet soft threshold filter method; wavelet soft threshold filtering; Earthquakes; Filtering; Noise; Wavelet analysis; Wavelet coefficients; Digital signal processing; Mine earthquake; Soft threshold filtering; Wavelet transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
  • Conference_Location
    Xian
  • ISSN
    2158-5695
  • Print_ISBN
    978-1-4673-1534-0
  • Type

    conf

  • DOI
    10.1109/ICWAPR.2012.6294794
  • Filename
    6294794