• DocumentCode
    514746
  • Title

    Burst Noise Measuring on the Basis of Wavelet and Fourier Transform

  • Author

    Chen, Xiaojuan ; Han, Yaru ; Wu, Jie

  • Author_Institution
    Coll. of Inf. Eng., Northeast Dianli Univ., Jilin, China
  • Volume
    1
  • fYear
    2010
  • fDate
    13-14 March 2010
  • Firstpage
    769
  • Lastpage
    771
  • Abstract
    Wavelet transform has a good time - frequency properties, that provides a broad prospect for the noise analysis and processing of the application. Burst noise is a longer pulse width of random pulse sequence, the voltage value is generally nV magnitude, its presence can cause severe circuit failure, so check out the burst noise is very necessary. Through the contrast of fourier transform and wavelet transform analysis in burst noise, we can see wavelet transform is extremely sensitive to the singular signal, making it showing the superiority in non-stationary signal analysis.
  • Keywords
    Fourier transforms; burst noise; signal processing; wavelet transforms; Fourier transform; burst noise measurement; circuit failure; noise analysis; non-stationary signal analysis; random pulse sequence; wavelet transform; Circuit noise; Fourier transforms; Frequency; Noise measurement; Pulse circuits; Signal analysis; Space vector pulse width modulation; Voltage; Wavelet analysis; Wavelet transforms; Fourier transform; Wavelet transform; burst noise; singularity;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Measuring Technology and Mechatronics Automation (ICMTMA), 2010 International Conference on
  • Conference_Location
    Changsha City
  • Print_ISBN
    978-1-4244-5001-5
  • Electronic_ISBN
    978-1-4244-5739-7
  • Type

    conf

  • DOI
    10.1109/ICMTMA.2010.366
  • Filename
    5458912