• DocumentCode
    2042760
  • Title

    Correction Method of Discrete Spectrum by Extracting Frequency

  • Author

    Shuren, Qin ; Huming, Duan ; Yongfang, Mao

  • Author_Institution
    Test Center of Chongqing Univ., Chongqing, China
  • fYear
    2007
  • fDate
    24-27 Nov. 2007
  • Firstpage
    552
  • Lastpage
    555
  • Abstract
    On the basis of reviewing and synthetically analyzing the characteristic of some current correction methods on discrete spectrum, an improved method, the extracting frequency correction method, is presented to improve the precision of discrete spectrum correction. The method approaches the original signal with the signal consisting of many harmonic signal components. These harmonic signal components are constructed by iteratively extracting the frequencies which have maximal amplitudes in amplitude spectrum of the original signal. Then the amplitudes and phases of these harmonic frequency components are amended with least square approximation method. Simulation result demonstrates that this method is easily carried out with high precision, hence applicable for all kinds of stationary signal processing in engineering.
  • Keywords
    error correction; least squares approximations; signal processing; spectral analysis; discrete spectrum correction; extracting frequency correction method; harmonic signal components; least square approximation; stationary signal processing; Error analysis; Error correction; Frequency; Instruments; Least squares approximation; Least squares methods; Performance analysis; Signal analysis; Signal processing; Testing; Signal processing; error correction; least squares methods; spectrum analysis;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing and Communications, 2007. ICSPC 2007. IEEE International Conference on
  • Conference_Location
    Dubai
  • Print_ISBN
    978-1-4244-1235-8
  • Electronic_ISBN
    978-1-4244-1236-5
  • Type

    conf

  • DOI
    10.1109/ICSPC.2007.4728378
  • Filename
    4728378