• DocumentCode
    1093477
  • Title

    A fast cosine transform in one and two dimensions

  • Author

    Makhoul, John

  • Author_Institution
    Bolt Beranek and Newman, Inc., Cambridge, MA
  • Volume
    28
  • Issue
    1
  • fYear
    1980
  • fDate
    2/1/1980 12:00:00 AM
  • Firstpage
    27
  • Lastpage
    34
  • Abstract
    The discrete cosine transform (DCT) of an N-point real signal is derived by taking the discrete Fourier transform (DFT) of a 2N-point even extension of the signal. It is shown that the same result may be obtained using only an N-point DFT of a reordered version of the original signal, with a resulting saving of 1/2. If the fast Fourier transform (FFT) is used to compute the DFT, the result is a fast cosine transform (FCT) that can be computed using on the order of N \\log _{2} N real multiplications. The method is then extended to two dimensions, with a saving of 1/4 over the traditional method that uses the DFT.
  • Keywords
    Discrete Fourier transforms; Discrete cosine transforms; Discrete transforms; Fast Fourier transforms; Forward contracts; Fourier transforms; Helium; Image processing; Software algorithms; Speech processing;
  • fLanguage
    English
  • Journal_Title
    Acoustics, Speech and Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    0096-3518
  • Type

    jour

  • DOI
    10.1109/TASSP.1980.1163351
  • Filename
    1163351