Computation of Two Dimensional Discrete Fourier Transforms (DFT) Using Fast Polynomial Transforms (FPT)
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    Abstract:

    In this paper,a fast algorithm is developed to compute two-dimensional Discrete Fourier Transform (DFT) of an array of NxM complex number points using FPT,where M=2m,N=2m-r+1,1≤r≤m.As compared with the conventional radix-2 two-dimensional Fast Fourier Transforms,this new algorithm requires less number of multiplications (decrease by 30-40%) and same number of additions, so that elevates the computing accuracy. The number of multiplications and additions are respectively Mu=1/2NMlog2M-3/2NM+N2+N(1+log2M-log2N) Ad= NMlog2MN. This algorithm also has the advantage to adopt the parallel algorithm.

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Jiang Zengrong. Computation of Two Dimensional Discrete Fourier Transforms (DFT) Using Fast Polynomial Transforms (FPT)[J]. Journal of National University of Defense Technology,1982,(4):71-88.

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History
  • Received:December 20,1981
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  • Online: August 18,2017
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