• DocumentCode
    2110399
  • Title

    High Speed Parallel Architecture for Cyclic Convolution Based on FNT

  • Author

    Zhang, Jian ; Li, Shuguo

  • Author_Institution
    Inst. of Microelectron., Tsinghua Univ., Beijing
  • fYear
    2009
  • fDate
    13-15 May 2009
  • Firstpage
    199
  • Lastpage
    204
  • Abstract
    This paper presents a high speed parallel architecture for cyclic convolution based on Fermat number transform (FNT) in the diminished-1 number system. A code conversion method without addition (CCWA) and a butterfly operation method without addition (BOWA) are proposed to perform the FNT and its inverse (IFNT) except their final stages in the convolution. The pointwise multiplication in the convolution is accomplished by modulo 2n+1 partial product multipliers (MPPM) and output partial products which are inputs to the IFNT. Thus modulo 2n+1 carry propagation additions are avoided in the FNT and the IFNT except their final stages and the modulo 2n+1 multiplier. The execution delay of the parallel architecture is reduced evidently due to the decrease of modulo 2n+1 carry-propagation addition. Compared with the existing cyclic convolution architecture, the proposed one has better throughput performance and involves less hardware complexity. Synthesis results using 130 nm CMOS technology demonstrate the superiority of the proposed architecture over the reported solution.
  • Keywords
    convolution; fast Fourier transforms; parallel architectures; Fermat number transform; butterfly operation method without addition; code conversion method without addition; cyclic convolution architecture; fast Fourier transforms; high speed parallel architecture; pointwise multiplication; Arithmetic; CMOS technology; Computer Society; Convolution; Delay; Hardware; Microelectronics; Parallel architectures; Throughput; Very large scale integration; Fermat number transform; butterfly operation; code conversion; cyclic convolution;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    VLSI, 2009. ISVLSI '09. IEEE Computer Society Annual Symposium on
  • Conference_Location
    Tampa, FL
  • Print_ISBN
    978-1-4244-4408-3
  • Electronic_ISBN
    978-0-7695-3684-2
  • Type

    conf

  • DOI
    10.1109/ISVLSI.2009.10
  • Filename
    5076407