• DocumentCode
    1172975
  • Title

    Radix r^{k} FFTs: Matricial Representation and SDC/SDF Pipeline Implementation

  • Author

    Cortés, Ainhoa ; Vélez, Igone ; Sevillano, Juan F.

  • Author_Institution
    CEIT, Univ. of Navarra, San Sebastian
  • Volume
    57
  • Issue
    7
  • fYear
    2009
  • fDate
    7/1/2009 12:00:00 AM
  • Firstpage
    2824
  • Lastpage
    2839
  • Abstract
    This paper proposes to use the discrete Fourier transform (DFT) matrix factorization based on the Kronecker product to express the family of radix rk single-path delay commutator/single-path delay feedback (SDC/SDF) pipeline fast Fourier transform (FFT) architectures. The matricial expressions of the radix r, r 2, r 3, and r 4 decimation-in-frequency (DIF) SDC/SDF pipeline architectures are derived. These expressions can be written using a small set of operators, resulting in a compact representation of the algorithms. The derived expressions are general in terms of r and the number of points of the FFT N. Expressions are given where it is not necessary that N is a power of rk. The proposed set of operators can be mapped to equivalent hardware circuits. Thus, the designer can easily go from the matricial representations to their implementations and vice versa. As an example, the mapping of the operators is shown for radix 2, 22, 23, and 24, and the details of the corresponding SDC/SDF pipeline FFT architectures are presented. Furthermore, a general expression is given for the SDC/SDF radix rk pipeline architectures when k > 4. This general expression helps the designer to efficiently handle a wider design exploration space and select the optimum single-path architecture for a given value of N.
  • Keywords
    discrete Fourier transforms; matrix algebra; pipeline processing; signal processing; Kronecker product; SDC/SDF; discrete Fourier transform matrix factorization; matricial expressions; matricial representation; pipeline implementation; radix rk FFT; Discrete Fourier transform; fast Fourier transform; matrix decomposition; pipeline processing;
  • fLanguage
    English
  • Journal_Title
    Signal Processing, IEEE Transactions on
  • Publisher
    ieee
  • ISSN
    1053-587X
  • Type

    jour

  • DOI
    10.1109/TSP.2009.2016276
  • Filename
    4787010