• DocumentCode
    1103105
  • Title

    Discrete Fourier transform algorithms for real valued sequences

  • Author

    Martens, Jean-Bernard

  • Author_Institution
    University of Ghent, Ghent, Belgium
  • Volume
    32
  • Issue
    2
  • fYear
    1984
  • fDate
    4/1/1984 12:00:00 AM
  • Firstpage
    390
  • Lastpage
    396
  • Abstract
    It is well known that the discrete Fourier transformation (DFT) of a real-valued sequence contains some redundancies. More precisely, approximately half of the DFT coefficients suffice to completely determine the DFT. In this paper, it is shown that the choice of the set of (nonredundant) DFT coefficients to be calculated affects the efficiency of the resulting algorithm. One especially interesting choice is discussed in detail for the case of mixed radix-(2, 3) DFT algorithms. Algorithms for the DFT calculation of both one and more dimensional real-valued arrays are discussed.
  • Keywords
    Array signal processing; Convolution; Discrete Fourier transforms; Ear; Fourier transforms; Helium; Maximum likelihood detection; Polynomials; Signal analysis; Signal processing algorithms;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/TASSP.1984.1164310
  • Filename
    1164310