Recent Advances in Fractional Fourier Transforms and Applications, 2nd Edition

A special issue of Fractal and Fractional (ISSN 2504-3110). This special issue belongs to the section "General Mathematics, Analysis".

Deadline for manuscript submissions: 25 February 2025 | Viewed by 1763

Special Issue Editors


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Guest Editor
Department of Computer Science, The University of Suwon, Hwaseong-si, Gyeonggi-do 18323, Republic of Korea
Interests: fractional Fourier transform; fractional integral operator and applications
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Guest Editor
School of Mathematics and Statistics, Beijing Institute of Technology, Beijing 100081, China
Interests: signal and image processing; fractional Fourier transform and linear canonical transform theory and method; statistical data analysis and processing
Special Issues, Collections and Topics in MDPI journals

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Guest Editor
School of Electronics and Information , Zhongyuan University of Technology, Zhengzhou 450007, China
Interests: signal and image processing; fractional Fourier transform
Special Issues, Collections and Topics in MDPI journals

Special Issue Information

Dear Colleagues,

With the rapid development of modern signal processing theory, the processed signal has gradually developed from the early stationary signal to the non-stationary, non-Gaussian, non-single sampling complex signal. As one of the important branches of non-stationary signal processing theory, fractional Fourier transform (FRFT) is favored by many researchers due to its unique characteristics. In recent decades, new research results have emerged in an endless stream. FRFT has been widely used in many scientific research and engineering fields, such as swept filters, artificial neural networks, wavelet transform, time–frequency analysis, time-varying filtering, complex transmission, partial differential equations, quantum mechanics, etc. In addition, FRFT can also be used to define fractional convolution, correlation, Hilbert transform, Riesz transform, and other operations, and can also be further generalized into the linear canonical transformation.

This Special Issue aims to continue to advance research on topics relating to the theory, algorithm development, and application of fractional Fourier transform.

Topics that are invited for submission include (but are not limited to):

  • Mathematical theory of FRFT;
  • Fractional integral transformation based on FRFT, such as Hilbert transform, Riesz transform, ;
  • Applications of FRFT in signal processing, PDE, information security, and other fields;
  • Numerical algorithm of FRFT;
  • The generalization of FRFT (e.g., the linear canonical transform (LCT), fractional wavelet transforms, and chirp Fourier transform) in theory and applications.

Please feel free to read and download all published articles in our first volume: 
https://www.mdpi.com/journal/fractalfract/special_issues/FRFT.

Prof. Dr. Zunwei Fu
Prof. Dr. Bingzhao Li
Dr. Xiangyang Lu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 100 words) can be sent to the Editorial Office for announcement on this website.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Fractal and Fractional is an international peer-reviewed open access monthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2700 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • fractional Fourier transform
  • linear canonical transform
  • digital signal processing
  • fractional integral operator
  • partial differential equations

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Related Special Issue

Published Papers (2 papers)

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Research

23 pages, 1728 KiB  
Article
Fractional Fourier Series on the Torus and Applications
by Chen Wang, Xianming Hou, Qingyan Wu, Pei Dang and Zunwei Fu
Fractal Fract. 2024, 8(8), 494; https://doi.org/10.3390/fractalfract8080494 - 21 Aug 2024
Viewed by 711
Abstract
This paper introduces the fractional Fourier series on the fractional torus and proceeds to investigate several fundamental aspects. Our study includes topics such as fractional convolution, fractional approximation, fractional Fourier inversion, and the Poisson summation formula. We also explore the relationship between the [...] Read more.
This paper introduces the fractional Fourier series on the fractional torus and proceeds to investigate several fundamental aspects. Our study includes topics such as fractional convolution, fractional approximation, fractional Fourier inversion, and the Poisson summation formula. We also explore the relationship between the decay of its fractional Fourier coefficients and the smoothness of a function. Additionally, we establish the convergence of the fractional Féjer means and Bochner–Riesz means. Finally, we demonstrate the practical applications of the fractional Fourier series, particularly in the context of solving fractional partial differential equations with periodic boundary conditions, and showcase the utility of approximation methods on the fractional torus for recovering non-stationary signals. Full article
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23 pages, 329 KiB  
Article
Discussion on Weighted Fractional Fourier Transform and Its Extended Definitions
by Tieyu Zhao and Yingying Chi
Fractal Fract. 2024, 8(8), 464; https://doi.org/10.3390/fractalfract8080464 - 7 Aug 2024
Viewed by 696
Abstract
The weighted fractional Fourier transform (WFRFT) has always been considered a development of the discrete fractional Fourier transform (FRFT). This paper points out that the WFRFT is a discrete FRFT of eigenvalue decomposition, which will change the consistent understanding of the WFRFT. Extended [...] Read more.
The weighted fractional Fourier transform (WFRFT) has always been considered a development of the discrete fractional Fourier transform (FRFT). This paper points out that the WFRFT is a discrete FRFT of eigenvalue decomposition, which will change the consistent understanding of the WFRFT. Extended definitions based on the WFRFT have been proposed and widely used in information processing. This paper proposes a unified framework for extended definitions, and existing extended definitions can serve as special cases of this unified framework. In further analysis, we find that the existing extended definitions are deficient. With the help of a unified framework, we systematically analyze the reasons for the deficiencies. This has great guiding significance for the application of the WFRFT and its extended definitions. Full article
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