Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Self-Fourier functions and fractional Fourier transforms

View through CrossRef
The Fourier transform is perhaps the most important analytical tool in wave optics. Hence Fourier-related concepts are likely to have an important on optics. We will likely recall two novel concepts and then show how they are interrelated. A self-Fourier function (SFF) [1,2] is a function whose Fourier transform is identical to itself. Another issue that has been recently investigated is the fractional Fourier transform. Two distinct definitions of the fractional Fourier transform have been given. In the first one [1], the fractional Fourier transform was defined physically, based on propagation in quadratic graded index (GRIN) media. The second definition [2] is based on Wigner distribution functions (WDF). Here the fractional Fourier transform is calculated by finding the WDF of the input image, rotating it by an angle α = aπ/2, and performing the inverse Wigner transform.
Title: Self-Fourier functions and fractional Fourier transforms
Description:
The Fourier transform is perhaps the most important analytical tool in wave optics.
Hence Fourier-related concepts are likely to have an important on optics.
We will likely recall two novel concepts and then show how they are interrelated.
A self-Fourier function (SFF) [1,2] is a function whose Fourier transform is identical to itself.
Another issue that has been recently investigated is the fractional Fourier transform.
Two distinct definitions of the fractional Fourier transform have been given.
In the first one [1], the fractional Fourier transform was defined physically, based on propagation in quadratic graded index (GRIN) media.
The second definition [2] is based on Wigner distribution functions (WDF).
Here the fractional Fourier transform is calculated by finding the WDF of the input image, rotating it by an angle α = aπ/2, and performing the inverse Wigner transform.

Related Results

Solving Undamped and Damped Fractional Oscillators via Integral Rohit Transform
Solving Undamped and Damped Fractional Oscillators via Integral Rohit Transform
Background: The dynamics of fractional oscillators are generally described by fractional differential equations, which include the fractional derivative of the Caputo or Riemann-Li...
Is a Fitbit a Diary? Self-Tracking and Autobiography
Is a Fitbit a Diary? Self-Tracking and Autobiography
Data becomes something of a mirror in which people see themselves reflected. (Sorapure 270)In a 2014 essay for The New Yorker, the humourist David Sedaris recounts an obsession spu...
Introduction
Introduction
Jean Baptiste Joseph Fourier’s powerful idea of decomposition of a signal into sinusoidal components has found application in almost every engineering and science field. An incompl...
Ostrowski-Type Fractional Integral Inequalities: A Survey
Ostrowski-Type Fractional Integral Inequalities: A Survey
This paper presents an extensive review of some recent results on fractional Ostrowski-type inequalities associated with a variety of convexities and different kinds of fractional ...
Application of Fractional Integral Transform in Fuzzy Differential Equations
Application of Fractional Integral Transform in Fuzzy Differential Equations
This chapter has included the application of fractional integral transform in the fuzzy field by presenting the solution of fuzzy fractional differential equations with the help of...
On α-Fractional Bregman Divergence to study α-Fractional Minty’s Lemma
On α-Fractional Bregman Divergence to study α-Fractional Minty’s Lemma
In this paper fractional variational inequality problems (FVIP) and dual fractional variational inequality problems (DFVIP), Fractional minimization problems are defined with the h...
On Λ-Fractional fluid mechanics
On Λ-Fractional fluid mechanics
Λ-fractional analysis has already been presented as the only fractional analysis conforming with the Differential Topology prerequisites. That is, the Leibniz rule and chain rule d...
Efficient by Precision Algorithms for Approximating Functions from Some Classes by Fourier Series
Efficient by Precision Algorithms for Approximating Functions from Some Classes by Fourier Series
Introduction. The problem of approximation can be considered as the basis of computational methods, namely, the approximation of individual functions or classes of functions by fun...

Back to Top