• DocumentCode
    2754483
  • Title

    The Improved Signal Processing Method Based on Matrix Pencil Algorithm

  • Author

    Liu, Guohua ; Zhang, Guangxin ; Zhang, Tongjun ; Zhou, Zekui

  • Author_Institution
    Dept. of Control Sci. & Eng., Zhejiang Univ., Hangzhou
  • Volume
    2
  • fYear
    0
  • fDate
    0-0 0
  • Firstpage
    5981
  • Lastpage
    5984
  • Abstract
    This paper presents a new approach for signal processing method based on matrix pencil method, which is effective for exponential signal. The principle of matrix pencil method is based on the singular value decomposition (SVD), and the characteristics of the singular value are analysed for the high signal-to-noise (SNR). If reduced gradient of the singular value is less than the threshold value, the part of signal should be subdivision by wavelet packet, and then make it fusion with the result of matrix pencil method. The simulation results show that the improved signal processing method based on matrix pencil method has significant filtering effect and less restrictive applied field
  • Keywords
    filtering theory; matrix algebra; signal processing; singular value decomposition; wavelet transforms; exponential signal; filtering effect; matrix pencil algorithm; signal processing; signal-to-noise ratio; singular value decomposition; wavelet packet; Digital filters; Digital signal processing; Filtering; Matrix decomposition; Noise level; Signal analysis; Signal processing; Signal processing algorithms; Singular value decomposition; Wavelet packets; Matrix Pencil method; singular value decomposition (SVD); wavelet packet;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Control and Automation, 2006. WCICA 2006. The Sixth World Congress on
  • Conference_Location
    Dalian
  • Print_ISBN
    1-4244-0332-4
  • Type

    conf

  • DOI
    10.1109/WCICA.2006.1714227
  • Filename
    1714227