• DocumentCode
    2524560
  • Title

    Interpolation of Discrete Chirp-periodic Signals Based on Fractional Fourier Transform

  • Author

    Li, Bing-Zhao ; Tao, Ran ; Wang, Yue

  • Author_Institution
    Dept. of Electron. Eng., Beijing Inst. of Technol.
  • Volume
    3
  • fYear
    2006
  • fDate
    Aug. 30 2006-Sept. 1 2006
  • Firstpage
    2
  • Lastpage
    5
  • Abstract
    The sampling theorem associated with the fractional Fourier transform can be looked as the convolution of the sinc kernel with infinite sequence of signal points and chirp signal modulations. But in most practical applications we only have finite number of samples, which makes a perfect reconstruction of the original signal impossible. To solve this problem, we obtain a new formula for perfect reconstruction of discrete chirp-periodic signal points based on the fractional Fourier transform in this paper. The method is equivalent to trigonometrically interpolation by fractional Fourier series expansion and can be looked as a generalization of the classical results
  • Keywords
    Fourier series; Fourier transforms; chirp modulation; interpolation; signal reconstruction; signal sampling; chirp signal modulation; discrete chirp-periodic signal point; fractional Fourier series expansion; fractional Fourier transform; sampling theorem; signal reconstruction; sinc kernel; trigonometrically interpolation; Chirp; Convolution; Fourier transforms; Interpolation; Mathematics; Optical signal processing; Radio access networks; Sampling methods; Signal processing; Signal sampling;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Innovative Computing, Information and Control, 2006. ICICIC '06. First International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7695-2616-0
  • Type

    conf

  • DOI
    10.1109/ICICIC.2006.467
  • Filename
    1692102