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Implementation of quantum and classical discrete fractional Fourier transforms [PDF]

open access: yesNature Communications, 2016
Fourier analysis has become a standard tool in contemporary science. Here, Weimann et al. report classical and quantum optical realizations of the discrete fractional Fourier transform, a generalization of the Fourier transform, with potential ...
Steffen Weimann   +11 more
doaj   +2 more sources

Unsteady two dimensional flow of non-newtönian fractional Casson fluid for an edge with heated boundaries [PDF]

open access: yesScientific Reports
This study explores the transient flow and thermal behavior of incompressible non-Newtonian fluids, with a particular emphasis on Casson and fractional Casson models, which are widely applied in blood flow, lubricants, and polymer processing.
Sohail Nadeem   +4 more
doaj   +2 more sources

Fractional Fourier Transform [PDF]

open access: yes2001 European Control Conference (ECC), 2010
Chapter ...
Ozaktas, Haldun M.   +2 more
openaire   +5 more sources

Fractional Fourier transforms of vortex Hermite-cosh-Gaussian beams

open access: yesResults in Optics, 2021
In this paper, we investigate the propagation properties of a vortex Hermite-cosh-Gaussian beam (vHChGB) passing through a fractional Fourier transform (FRFT) optical system.
E.M. El Halba, Z. Hricha, A. Belafhal
doaj   +1 more source

Fractional Fourier Transform Meets Transformer Encoder

open access: yesIEEE Signal Processing Letters, 2022
Utilizing signal processing tools in deep learning models has been drawing increasing attention. Fourier transform (FT), one of the most popular signal processing tools, is employed in many deep learning models. Transformer-based sequential input processing models have also started to make use of FT.
Furkan Sahinuc, Aykut Koc
openaire   +3 more sources

On the Fractional Derivative Duality in Some Transforms

open access: yesMathematics, 2023
Duality is one of the most interesting properties of the Laplace and Fourier transforms associated with the integer-order derivative. Here, we will generalize it for fractional derivatives and extend the results to the Mellin, Z and discrete-time Fourier
Manuel Duarte Ortigueira   +1 more
doaj   +1 more source

Simplified fractional Fourier transforms [PDF]

open access: yesJournal of the Optical Society of America A, 2000
The fractional Fourier transform (FRFT) has been used for many years, and it is useful in many applications. Most applications of the FRFT are based on the design of fractional filters (such as removal of chirp noise and the fractional Hilbert transform) or on fractional correlation (such as scaled space-variant pattern recognition).
Pei, Soo-Chang, Ding, Jian-Jiun
openaire   +2 more sources

The Fractional Clifford-Fourier Transform [PDF]

open access: yesComplex Analysis and Operator Theory, 2012
17 pages, accepted for publication in Complex Anal.
De Bie, Hendrik, De Schepper, Nele
openaire   +4 more sources

The discrete fractional Fourier transform [PDF]

open access: yesIEEE Transactions on Signal Processing, 1999
Summary: We propose and consolidate a definition of the discrete fractional Fourier transform that generalizes the discrete Fourier transform (DFT) in the same sense that the continuous fractional Fourier transform generalizes the continuous ordinary Fourier transform.
Candan, C., Kutay, M. A., Ozaktas, H. M.
openaire   +6 more sources

One dimensional fractional frequency Fourier transform by inverse difference operator

open access: yesAdvances in Difference Equations, 2019
This article aims to develop fractional order convolution theory to bring forth innovative methods for generating fractional Fourier transforms by having recourse to solutions for fractional difference equations.
Dumitru Baleanu   +3 more
doaj   +1 more source

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