• DocumentCode
    2531574
  • Title

    Efficiency of the three-point interpolated DFT method on the normalized frequency estimation of a sine-wave

  • Author

    Belega, Daniel ; Dallet, Dominique

  • Author_Institution
    Fac. of Electron. anTelecommunications, Univ. of Timisoara, Timisoara, Romania
  • fYear
    2009
  • fDate
    21-23 Sept. 2009
  • Firstpage
    2
  • Lastpage
    7
  • Abstract
    This paper focuses on the efficiency of the three-point interpolated discrete Fourier transform (IpDFT) method with maximum sidelobe decay windows on the normalized frequency estimation of a sine-wave corrupted by a stationary white noise. The efficiency is evaluated by means of the common uncertainty of the normalized frequency estimates, the expression of which is derived. Moreover, the efficiency of the three-point IpDFT method is compared with the one of the IpDFT method. Based on this comparison an algorithm which leads to the best method for normalized frequency estimation is proposed. The efficiency of this algorithm has been proved by means of computer simulations.
  • Keywords
    discrete Fourier transforms; frequency estimation; interpolation; signal processing; white noise; discrete Fourier transform method; normalized frequency estimation; sidelobe decay window; sine-wave corruption; stationary white noise; three-point interpolated DFT method; Computer errors; Computer simulation; Conferences; Discrete Fourier transforms; Frequency domain analysis; Frequency estimation; Interference; Interpolation; Uncertainty; White noise; Normalized frequency estimation; maximum sidelobe decay windows; random errors; systematic errors; three-point interpolated DFT method;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Intelligent Data Acquisition and Advanced Computing Systems: Technology and Applications, 2009. IDAACS 2009. IEEE International Workshop on
  • Conference_Location
    Rende
  • Print_ISBN
    978-1-4244-4901-9
  • Electronic_ISBN
    978-1-4244-4882-1
  • Type

    conf

  • DOI
    10.1109/IDAACS.2009.5343034
  • Filename
    5343034