• DocumentCode
    2918512
  • Title

    A new FFT concept for efficient VLSI implementation: Part I - Butterfly processing element

  • Author

    Jaber, Marwan A. ; Massicotte, Daniel

  • Author_Institution
    Electr. & Comput. Eng. Dept., Univ. du Quebec a Trois-Rivieres, Trois-Rivieres, QC, Canada
  • fYear
    2009
  • fDate
    5-7 July 2009
  • Firstpage
    1
  • Lastpage
    6
  • Abstract
    This article describes a new approach for higher radix butterflies suitable for pipeline implementation. Based on the butterfly computation introduced by Cooley-Tukey [1], we introduce a novel approach for the factorization of the Discrete Fourier Transform (DFT), by redefining the butterfly computation, which is more suitable for efficient VLSI implementation. This proposed factorization motivated us to present a new concept of a radix-r Fast Fourier Transform (FFT), in which the radix-r butterfly computation concept was formulated as composite engines to implement each of the butterfly computations. This concept enables the radix r butterfly-processing element (BPE) to be designed by maintaining only one complex value multiplier in the butterfly critical path for any given r. Algorithmic description and performance of low complexity FFT method are considered in this paper and parallel pipelined FFT in a companion paper [15], Part II Parallel Pipelined FFT Processing.
  • Keywords
    VLSI; discrete Fourier transforms; fast Fourier transforms; DFT; FFT concept; VLSI implementation; butterfly processing element; discrete Fourier transform; fast Fourier transform; parallel pipelined FFT processing; radix-r- butterfly computation concept; Arithmetic; Delay; Discrete Fourier transforms; Fast Fourier transforms; Frequency domain analysis; Laboratories; Pipelines; Signal processing; Speech analysis; Very large scale integration;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Digital Signal Processing, 2009 16th International Conference on
  • Conference_Location
    Santorini-Hellas
  • Print_ISBN
    978-1-4244-3297-4
  • Electronic_ISBN
    978-1-4244-3298-1
  • Type

    conf

  • DOI
    10.1109/ICDSP.2009.5201181
  • Filename
    5201181