Results 11 to 20 of about 40,269 (290)

Fractional Fourier transforms of hypercomplex signals [PDF]

open access: yesSignal, Image and Video Processing, 2012
An overview is given to a new approach for obtaining generalized Fourier transforms in the context of hypercomplex analysis (or Clifford analysis). These transforms are applicable to higher-dimensional signals with several components and are different from the classical Fourier transform in that they mix the components of the signal.
De Bie, Hendrik, De Schepper, Nele
openaire   +3 more sources

Space-Time Fractional Reaction-Diffusion Equations Associated with a Generalized Riemann–Liouville Fractional Derivative [PDF]

open access: yesAxioms, 2014
This paper deals with the investigation of the computational solutions of a unified fractional reaction-diffusion equation, which is obtained from the standard diffusion equation by replacing the time derivative of first order by the generalized Riemann ...
Ram K. Saxena   +2 more
doaj   +5 more sources

Self Fourier functions and fractional Fourier transforms [PDF]

open access: yesOptics Communications, 1993
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.
Mendlovic, D.   +2 more
openaire   +3 more sources

Convolution, filtering, and multiplexing in fractional Fourier domains and their relation to chirp and wavelet transforms [PDF]

open access: yes, 1994
Cataloged from PDF version of article.A concise introduction to the concept of fractional Fourier transforms is followed by a discussion of their relation to chirp and wavelet transforms.
Barshan, B.   +3 more
core   +1 more source

Invariant Image Representation Using Novel Fractional-Order Polar Harmonic Fourier Moments

open access: yesSensors, 2021
Continuous orthogonal moments, for which continuous functions are used as kernel functions, are invariant to rotation and scaling, and they have been greatly developed over the recent years.
Chunpeng Wang   +5 more
doaj   +1 more source

Discrete Quadratic-Phase Fourier Transform: Theory and Convolution Structures

open access: yesEntropy, 2022
The discrete Fourier transform is considered as one of the most powerful tools in digital signal processing, which enable us to find the spectrum of finite-duration signals.
Hari M. Srivastava   +3 more
doaj   +1 more source

Exact Relation Between Continuous and Discrete Linear Canonical Transforms [PDF]

open access: yes, 2009
—Linear canonical transforms (LCTs) are a family of integral transforms with wide application in optical, acoustical, electromagnetic, and other wave propagation problems. The Fourier and fractional Fourier transforms are special cases of LCTs.
Figen S. Oktem, Haldun M. Ozaktas
core   +1 more source

Improved discrete fractional Fourier transform [PDF]

open access: yesOptics Letters, 1997
The fractional Fourier transform is a useful mathematical operation that generalizes the well-known continuous Fourier transform. Several discrete fractional Fourier transforms (DFRFT's) have been developed, but their results do not match those of the continuous case. We propose a new DFRFT.
S C, Pei, M H, Yeh
openaire   +2 more sources

Study on the Mainardi beam through the fractional Fourier transforms system [PDF]

open access: yesКомпьютерная оптика, 2018
In this paper, we introduced the Mainardi beam and indicated its attributes under the Fractional Fourier transform for power variations of Fractional Fourier transform.
Forouzan Habibi   +2 more
doaj   +1 more source

Sampling and series expansion theorems for fractional Fourier and other transforms [PDF]

open access: yes, 2003
Cataloged from PDF version of article.We present muchbriefer and more direct and transparent derivations of some sampling and series expansion relations for fractional Fourier and other transforms.
Candan, C., Ozaktas, H. M.
core   +1 more source

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