• DocumentCode
    527004
  • Title

    Research and application of electric power signal filter based on wavelet multi-resolution technology

  • Author

    Hong, Zhai

  • Author_Institution
    Suzhou Inst. of Ind. Technol., Suzhou, China
  • Volume
    2
  • fYear
    2010
  • fDate
    17-18 July 2010
  • Firstpage
    367
  • Lastpage
    370
  • Abstract
    In signal collection process, useful signal usually mixes noise interference such as white noise, which usually causing error in computer analyzing and processing. At present, normal de-noising method includes hardware and software. This paper uses wavelet transformation software method, which realizing noise de-noising to electronic power signal. In wavelet analysis, suitable of threshold function selection defines signal de-noising effect directly. This paper adopts Matlab simulation, carrying out serial kinds of different wavelet basis selection, and adopting different threshold function, which getting different signal de-noising effect. This paper uses db24 wavelet and adopt heursure rule to complete electronic power signal´s decomposition and reconstruction by Matlab software. From simulation we can see, wavelet filter and de-noising method is superior to other method in some non-stable signal process.
  • Keywords
    filtering theory; signal denoising; wavelet transforms; Matlab simulation; Matlab software; denoising method; electric power signal filter; electronic power signal; noise interference; signal collection process; wavelet basis selection; wavelet multiresolution technology; wavelet transformation method; white noise; Information filters; Noise; Noise reduction; Signal denoising; Wavelet analysis; Wavelet transforms; Mallat multiresolution; Wavelet filter and de-noising; electronic power signal; threshold selection; wavelet decomposition and reconstruction;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Environmental Science and Information Application Technology (ESIAT), 2010 International Conference on
  • Conference_Location
    Wuhan
  • Print_ISBN
    978-1-4244-7387-8
  • Type

    conf

  • DOI
    10.1109/ESIAT.2010.5567322
  • Filename
    5567322