• DocumentCode
    1694880
  • Title

    2-D arithmetic Fourier transform algorithm

  • Author

    Huisheng, Qian ; Ping, Li

  • Author_Institution
    Zhejiang Univ. of Technol., Hangzhou, China
  • Volume
    1
  • fYear
    1996
  • Firstpage
    147
  • Abstract
    The arithmetic Fourier transform (AFT) is a number-theoretic approach to Fourier analysis which has been shown to perform competitively with the classical FFT. A 2-D AFT algorithm using same method is developed on the basis of a 1-D AFT algorithm. The analysis of the complexity and the architecture of the 2-D AFT algorithm shows that 2-D AFT can also perform competitively with the classical 2-D FFT in terms of complexity and speed. Finally, a computer simulation shows the correction of this algorithm.
  • Keywords
    Fourier analysis; computational complexity; digital arithmetic; fast Fourier transforms; parallel algorithms; signal processing; 1D AFT algorithm; 2D arithmetic Fourier transform algorithm; FFT; Fourier analysis; complexity; computer simulation; number-theoretic approach; parallel processing; signal processing; speed; Arithmetic; Fourier transforms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Signal Processing, 1996., 3rd International Conference on
  • Conference_Location
    Beijing
  • Print_ISBN
    0-7803-2912-0
  • Type

    conf

  • DOI
    10.1109/ICSIGP.1996.567068
  • Filename
    567068