• DocumentCode
    388122
  • Title

    Hardware considerations in FFT processors

  • Author

    Agrawal, J.P. ; Ninan, Jacob

  • Author_Institution
    Indian Institute of Technology, Madras, India
  • Volume
    1
  • fYear
    1976
  • fDate
    27851
  • Firstpage
    618
  • Lastpage
    621
  • Abstract
    In this paper some useful techniques have been given which simplify hardware of the complex multipliers, and reduce the memory required to store Fourier coefficients in FFT processors, with particular reference to the cascade organisation. It has been shown that significant saving in hardware results if the multiplications are done in sign-magnitude form while the other processing may be in 1\´s complement or 2\´s complement arithmetic. The multiplication in the propossd manner preserves the characteristics of 1\´s complement or 2\´s complement multiplications, as the case may be. The symmetry in a unit circle has been exploited to reduce the number of coefficients needed to store from N/2 to N/8 When this scheme is adopted, it allows a further saving in memory by 4 bits/complex word. In other words the memory required by a kth stage of an N(=2n)-point cascade FFT processor, with 2b-bits complex words, is reduced from 2^{n-k} \\times 2b bits to 2^{n-k-2} \\times 2(b-2) bits. It has been shown that a 16-point processor does not require any coefficient storage. The coefficients needed by the first stage of the 32-point cascade FFT processor may be generated simply using few gates.
  • Keywords
    Algorithm design and analysis; Digital arithmetic; Digital filters; Hardware; Image storage; Jacobian matrices; Radar applications; Radar signal processing; Signal processing; Throughput;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    Acoustics, Speech, and Signal Processing, IEEE International Conference on ICASSP '76.
  • Type

    conf

  • DOI
    10.1109/ICASSP.1976.1169957
  • Filename
    1169957