On the time complexity of digital Fourier transform parallel computing
Matematičeskoe modelirovanie, Tome 7 (1995) no. 10, pp. 99-110.

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Modern trend to parallel implementing the discrete Fourier transform (DFT) – the basis of digital signal processing – is analysed. The one-dimensional DFT is demonstrated to have decisive advantages over fast Fourier transform. A calculating model at the many-channel pipeline achitecture (without any crossing data flows) to compute the two-dimensional DFT in the shortest time is proposed. It is shown that all aspirations to achieve an absolut paralleling in computing ttr multy-dimensionai DFT are unfeasible.
@article{MM_1995_7_10_a6,
     author = {V. A. Leus},
     title = {On the time complexity of digital {Fourier} transform parallel computing},
     journal = {Matemati\v{c}eskoe modelirovanie},
     pages = {99--110},
     publisher = {mathdoc},
     volume = {7},
     number = {10},
     year = {1995},
     language = {ru},
     url = {http://geodesic.mathdoc.fr/item/MM_1995_7_10_a6/}
}
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V. A. Leus. On the time complexity of digital Fourier transform parallel computing. Matematičeskoe modelirovanie, Tome 7 (1995) no. 10, pp. 99-110. http://geodesic.mathdoc.fr/item/MM_1995_7_10_a6/