• DocumentCode
    2502258
  • Title

    Approach of impulse interfere noise cancellation based on blind source separation

  • Author

    Gao, Li ; Hu, Yanjun ; Yu, Hongzhen

  • Author_Institution
    Sch. of Electr. Eng. & Autom., Xuzhou Normal Univ., Xuzhou
  • fYear
    2008
  • fDate
    25-27 June 2008
  • Firstpage
    9191
  • Lastpage
    9194
  • Abstract
    The paper analyzed the character, the origin and the danger of impulse interfere in the coal mine monitoring system. The impulse interfere in monitoring system has characters of sparse, shortness, and high amplitude. According to those characters, the adaptive denoising method based on FOCUSS was proposed to eliminate the impulse interfere. In the experiment, according to the procedures proposed by FOCUSS, the simulation was implemented based on real data which collected from coal mine practicality. Also, the wavelet algorithm was compared with the FOCUSS method in the experiment. By the wavelet method, the maximal absoluteness errors is 0.22, the minimal errors is 0.05; by the FOCUSS method, the maximal absoluteness errors is 0.13, the minimal errors is 0.0015. Also, the data form recovered by FOCUSS method is more similar to the real data from than the data form recovered by the wavelet method. The result of simulation testified the correctness of the adaptive denoising method based on FOCUSS. These instructions give you basic guidelines for preparing papers for conference proceedings.
  • Keywords
    blind source separation; impulse noise; interference (signal); mining; monitoring; signal denoising; FOCUSS method; adaptive denoising method; blind source separation; coal mine monitoring system; impulse interfere noise cancellation; wavelet algorithm; Automation; Blind source separation; Computerized monitoring; Electronic mail; Error correction; Information analysis; Intelligent control; Noise cancellation; Noise reduction; Paper technology; FOCUSS; blind source separation; impulse interfere; monitoring system;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2008. WCICA 2008. 7th World Congress on
  • Conference_Location
    Chongqing
  • Print_ISBN
    978-1-4244-2113-8
  • Electronic_ISBN
    978-1-4244-2114-5
  • Type

    conf

  • DOI
    10.1109/WCICA.2008.4594385
  • Filename
    4594385