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In this work the generalized discrete Fouriertransform (GFT), which includes the DFT as a particular case, is considered. Two pairs of fast algorithms for evaluating amultidimensional GFT are given (T-algorithm, F-algorithm, and T'-algorithm, F'-algorithm) It is shown that in the case of the DFT of a vector, the T-algorithm represents a form of the classical FFT algorithm based on a decimation in time, and the F-algorithm represents a form of the classical FFT algorithm based ondecimation in frequency. Moreover, it is shown that the T'-algorithm and the T-algorithm involve exactly the same arithmetic operations on the same data. The same property holds for the F'-algorithm and the F-algorithm. The relevance of such such algorithms is discussed, and it is shown that the T'-algorithm and the F'-algorithm are particularly advantageous for evaluating the DFT of large sets of data.
generalised discrete Fourier transform, fast algorithms, discrete Fourier transform, Analysis of algorithms and problem complexity, Trigonometric interpolation, Numerical methods for trigonometric approximation and interpolation, multidimensional processing, fast Fourier transform, decimation- in-frequency algorithm, multidimensional generalized discrete Fourier transform, different algorithms, signal processing, Algorithms in computer science
generalised discrete Fourier transform, fast algorithms, discrete Fourier transform, Analysis of algorithms and problem complexity, Trigonometric interpolation, Numerical methods for trigonometric approximation and interpolation, multidimensional processing, fast Fourier transform, decimation- in-frequency algorithm, multidimensional generalized discrete Fourier transform, different algorithms, signal processing, Algorithms in computer science
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