• DocumentCode
    1032513
  • Title

    Techniques for the efficient evaluation of two-dimensional autocorrelation functions

  • Author

    Rinaldo, R. ; Cortelazzo, G. ; Mian, G.A.

  • Author_Institution
    Dipartimento di Elettronica e Inf., Padova Univ., Italy
  • Volume
    40
  • Issue
    11
  • fYear
    1992
  • fDate
    11/1/1992 12:00:00 AM
  • Firstpage
    2854
  • Lastpage
    2857
  • Abstract
    The evaluation of the autocorrelation of multidimensional sequences using the FFT is investigated. The bidimensional case is treated in detail not only because it is of special interest for the applications, but also because the reasoning used for this case can be applied to higher-dimension signals. The analysis confirms that the use of the proposed frequency-domain techniques leads to significant computation time savings
  • Keywords
    correlation theory; fast Fourier transforms; frequency-domain analysis; signal processing; FFT; frequency-domain techniques; higher-dimension signals; multidimensional sequences; signal processing; two-dimensional autocorrelation functions; Autocorrelation; Computational efficiency; Digital signal processing; Finite impulse response filter; Frequency domain analysis; Multidimensional signal processing; Multidimensional systems; Signal processing algorithms; System identification; Wiener filter;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/78.165679
  • Filename
    165679