• DocumentCode
    2946692
  • Title

    Arithmetic complexity of the split-radix FFT algorithms

  • Author

    Bouguezel, Saad ; Ahmad, M. Omair ; Swamy, M.N.S.

  • Author_Institution
    Dept. of Electr. & Comput. Eng., Concordia Univ., Montreal, Que., Canada
  • Volume
    5
  • fYear
    2005
  • fDate
    18-23 March 2005
  • Abstract
    A radix-2/16 decimation-in-frequency (DIF) fast Fourier transform (FFT) algorithm and its higher radix version, namely radix-4/16 DIF FFT algorithm, are proposed by suitably mixing the radix-2, radix-4 and radix-16 index maps, and combing some of the twiddle factors. It is shown that the proposed algorithms and the existing radix-2/4 and radix-2/8 FFT algorithms require exactly the same number of arithmetic operations (multiplications+additions). Moreover, by using techniques similar to these, it can be shown that all the possible split-radix FFT algorithms of the type radix-2r/2rs for computing a 2m-point DFT require exactly the same number of arithmetic operations.
  • Keywords
    computational complexity; digital arithmetic; fast Fourier transforms; signal processing; additions; arithmetic complexity; arithmetic operations; decimation-in-frequency fast Fourier transform algorithm; digital signal processing; multiplications; radix index maps; split-radix FFT algorithms; twiddle factors; Algorithm design and analysis; Arithmetic; Digital signal processing; Discrete Fourier transforms; Fast Fourier transforms; Signal processing algorithms;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, 2005. Proceedings. (ICASSP '05). IEEE International Conference on
  • ISSN
    1520-6149
  • Print_ISBN
    0-7803-8874-7
  • Type

    conf

  • DOI
    10.1109/ICASSP.2005.1416259
  • Filename
    1416259