Results 231 to 240 of about 1,263,515 (279)
Some of the next articles are maybe not open access.
Fractional finite Fourier transform
Journal of the Optical Society of America A, 2004We show that a fractional version of the finite Fourier transform may be defined by using prolate spheroidal wave functions of order zero. The transform is linear and additive in its index and asymptotically goes over to Namias's definition of the fractional Fourier transform.
Kedar, Khare, Nicholas, George
openaire +2 more sources
Digital computation of the fractional Fourier transform [PDF]
An algorithm for efficient and accurate computation of the fractional Fourier transform is given. For signals with time-bandwidth product N, the presented algorithm computes the fractional transform in O(NlogN) time. A definition for the discrete fractional Fourier transform that emerges from our analysis is also discussed.
Orhan Arikan, H M Ozaktas
exaly +4 more sources
The Fractional Fourier Transform and Applications
SIAM Review, 1991This paper describes the “fractional Fourier transform,” which admits computation by an algorithm that has complexity proportional to the fast Fourier transform algorithm. Whereas the discrete Fourier transform (DFT) is based on integral roots of unity $e^{{{ - 2\pi i} / n}} $, the fractional Fourier transform is based on fractional roots of unity $e^{
David H. Bailey, Paul N. Swarztrauber
openaire +1 more source
Random fractional Fourier transform
Optics Letters, 2007We propose a novel random fractional Fourier transform by randomizing the transform kernel function of the conventional fractional Fourier transform. The random fractional Fourier transform inherits the excellent mathematical properties from the fractional Fourier transform and can be easily implemented in optics.
Zhengjun, Liu, Shutian, Liu
openaire +2 more sources
Trainable Fractional Fourier Transform
IEEE Signal Processing LettersRecently, the fractional Fourier transform (FrFT) has been integrated into distinct deep neural network (DNN) models such as transformers, sequence models, and convolutional neural networks (CNNs). However, in previous works, the fraction order $\boldsymbol{a}$ is merely considered a hyperparameter and selected heuristically or tuned manually to find ...
Emirhan Koç +3 more
openaire +2 more sources
On Namias's Fractional Fourier Transforms
IMA Journal of Applied Mathematics, 1987\textit{V. Namias} [J. Inst. Math. Appl. 25, 241-265 (1980; Zbl 0434.42014)] developed a theory of fractional powers for the Fourier transform and obtained a number of fractional formulae which he used to solve several types of Schrödinger equation. In this paper the authors attempt to provide the necessary mathematical framework for Namias' idea in ...
McBride, A. C., Kerr, F. H.
openaire +2 more sources
The fractional Fourier–Jacobi wavelet transform
The Journal of Analysis, 2023The main objective of this study is to define the fractional Jacobi translation and fractional Jacobi convolution, as well as to analyze the fractional Fourier-Jacobi wavelet transform and its fundamental properties. Additionally, an inversion formula and a Parseval relation for the continuous fractional Fourier-Jacobi wavelet transform are derived.
Othman Tyr, Faouaz Saadi
openaire +2 more sources
Proceedings of the International Conference on Advances in Computing, Communications and Informatics, 2012
The Fractional Fourier transform (FRFT), which provides generalization of conventional Fourier Transform was introduced many years ago in mathematics literature by Namias. In this paper, definition, properties of fractional Fourier transform and its relationship with other transforms is discussed.
openaire +1 more source
The Fractional Fourier transform (FRFT), which provides generalization of conventional Fourier Transform was introduced many years ago in mathematics literature by Namias. In this paper, definition, properties of fractional Fourier transform and its relationship with other transforms is discussed.
openaire +1 more source
Fractional discrete Fourier transforms
Optics Letters, 1996Direct calculation of fractional Fourier transforms from the expressions derived for their optical implementation is laborious. An extension of the discrete Fourier transform would have only O(N(2)) computational complexity. We define such a system, offer a general way to compute the fractional discrete Fourier transform matrix, and numerically ...
Z T, Deng +2 more
openaire +2 more sources
Adaptive harmonic fractional Fourier transform
IEEE Signal Processing Letters, 1999A novel adaptive harmonic fractional Fourier transform is proposed for analysis of voiced speech signals. It provides a higher concentration than STFT and avoids the cross interference components produced by the Wigner-Ville distribution and other bilinear representation. The proposed method rotates the base tone and harmonics in time-frequency domain.
Feng Zhang, Yan Qiu Chen, Guoan Bi
openaire +2 more sources

