Discrete Fourier transform computation via the Walsh transform
Yukihiro Tadokoro, T. Higuchi
Abstract
Yukihiro Tadokoro, T. Higuchi
Abstract
This paper presents a new computational algorithm for the discrete Fourier transform (DFT). In an algorithm proposed here, DFT coefficients are computed via the Walsh transform (WT). The number of multiplications required by the new algorithm is approximately NL/6, where N is the number of data points and L is the number of Fourier coefficients desired. As such, it is superior to the fast Fourier transform (FFT) approach in applications where L is relatively small compared with N. It is also useful in cases where the Walsh and Fourier coefficients are both desired.
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This paper presents a new computational algorithm for the discrete Fourier transform (DFT). In an algorithm proposed here, DFT coefficients are computed via the Walsh transform (WT). The number of multiplications required by the new algorithm is approximately NL/6, where N is the number of data points and L is the number of Fourier coefficients desired. As such, it is superior to the fast Fourier transform (FFT) approach in applications where L is relatively small compared with N. It is also useful in cases where the Walsh and Fourier coefficients are both desired.
Key concepts: Discrete Fourier transform (general), Fractional Fourier transform, Non-uniform discrete Fourier transform, Prime-factor FFT algorithm, Split-radix FFT algorithm, Discrete sine transform, Fast Fourier transform, Fourier transform