The fractional Fourier transform (FRFT) is a powerful tool for time-varying signal analysis.
There exist various discrete fractional Fourier transforms (DFRFTs); in this paper, we …

This work presents a literature review of the fractional Fourier transform (FrFT) investigations
and applications in the biomedical field. The FrFT is a time-frequency analysis tool that has …

Orthogonal moments were successfully used to extract features from gray-scale and color
images. Recently, scientists show that orthogonal moments of fractional-orders have better …

In this paper, we construct discrete fractional Fourier transforms (DFrFT) using recently
introduced closed-form Hermite-Gaussian-like (HGL) eigenvectors. With respect to such …

The necessity of data transfer at a high speed, in fast-growing information technology,
depends on compression algorithms. Maintaining quality of data reconstructed at high …

Compared with the Fourier analysis, the fractional Fourier analysis is more suitable to
process linear frequency modulation type non-stationary functions. To the best of our …

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 …

The fractional Fourier transform (FRFT) is one of the most useful tools for the nonstationary
signal processing. In this paper, the randomized nonuniform sampling and approximate …

Abstract Fractional Fourier transform (FrFT) is widely utilized in nonstationary signal
processing owing to its linearity and flexibility. Various discrete algorithms focus on the …

Index modulated orthogonal frequency division multiplexing (OFDM-IM) only utilizes partial
resources to transmit signals according to use case requirement, it leads to higher energy …