
doi: 10.3233/fi-2017-1477
The Fractional Fourier transform (FRFT) is a relatively novel linear transforms that is a generalization of conventional Fourier transform (FT). FRFT can transform a particular signal to a unified time-frequency domain. In this survey, we try to present a comprehensive investigation of FRFT. Firstly, we provided definition of FRFT and its three discrete versions (weighted-type, sampling-type, and eigendecomposition-type). Secondly, we offered a comprehensive theoretical research and technological studies that consisted of hardware implementation, software implementation, and optimal order selection. Thirdly, we presented a survey on applications of FRFT to following fields: communication, encryption, optimal engineering, radiology, remote sensing, fractional calculus, fractional wavelet transform, pseudo-differential operator, pattern recognition, and image processing. It is hoped that this survey would be beneficial for the researchers studying on FRFT.
Fractional derivatives and integrals, fractional wavelet transform, discrete fractional Fourier transform, fractional calculus, fractional Fourier transform, signal processing, time-frequency analysis, Numerical methods for discrete and fast Fourier transforms, optimal order
Fractional derivatives and integrals, fractional wavelet transform, discrete fractional Fourier transform, fractional calculus, fractional Fourier transform, signal processing, time-frequency analysis, Numerical methods for discrete and fast Fourier transforms, optimal order
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