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A New Hybrid Algorithm for Computing a Fast Discrete Fourier Transform

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2 Author(s)
I. S. Reed ; Department of Electrical Engineering, University of Southern California ; T. K. Truong

In this paper for certain long transform lengths, Winograd's algorithm for computing the discrete Fourier transform (DFT) is extended considerably. This is accomplisbed by performing the cyclic convolution, required by Winograd's method, with the Mersenne prime number-theoretic transform developed originally by Rader. This new algorithm requires fewer multiplications than either the standard fast Fourier transform (FFT) or Winograd's more conventional algorithm. However, more additions are required.

Published in:

IEEE Transactions on Computers  (Volume:C-28 ,  Issue: 7 )