• DocumentCode
    2416417
  • Title

    A metric unified treatment of two-dimensional FFT

  • Author

    Chernov, Vladimir M.

  • Author_Institution
    Image Process Syst. Inst., Samara, Russia
  • Volume
    2
  • fYear
    1996
  • fDate
    25-29 Aug 1996
  • Firstpage
    662
  • Abstract
    A unification of fast algorithms for the discrete Fourier transform is discussed. A relationship is established with the coverings of sets of input data indices and their metric properties with respect to the families of non-Archimedean metrics. An explicit analogy is given between the basic relations for the FFT-2 decomposition and the Stokes theorem on manifolds. Fast Fourier transforms with reduced computational complexity are synthesized
  • Keywords
    algebra; computational complexity; discrete Fourier transforms; iterative methods; signal processing; FFT-2 decomposition; Stokes theorem; computational complexity; coverings; discrete Fourier transform; input data indices; metric properties; metric unified treatment; nonArchimedean metrics; two-dimensional FFT; Arithmetic; Computational complexity; Discrete Fourier transforms; Fast Fourier transforms; Flexible printed circuits; Fourier transforms; Image processing; Pattern recognition; Polynomials; Tensile stress;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Pattern Recognition, 1996., Proceedings of the 13th International Conference on
  • Conference_Location
    Vienna
  • ISSN
    1051-4651
  • Print_ISBN
    0-8186-7282-X
  • Type

    conf

  • DOI
    10.1109/ICPR.1996.546906
  • Filename
    546906