Results 201 to 210 of about 4,775 (232)
Some of the next articles are maybe not open access.

The Hypergeometric Approach to Integral Transforms and Convolutions

1994
Preface. 1. Preliminaries. 2. Mellin Convolution Type Transforms with Arbitrary Kernels. 3. H- and G-Transforms. 4. The Generalized H- and G-Transforms. 5. The Generating Operators of Generalized H-Transforms. 6. The Kontorovich--Lebedev Transform. 7. General W-Transform and its Particular Cases. 8.
Semen B. Yakubovich, Yurii F. Luchko
openaire   +1 more source

A general class of integral transforms and an expression for their convolution formulas

Integral Transforms and Special Functions, 2021
A class of integral transforms which satisfies certain assumptions is considered. Several examples, including the Fourier, Laplace and Mellin transforms, are in this class as well as transforms whi...
Thomas Futcher, Marianito R. Rodrigo
openaire   +1 more source

Composition method for constructing convolutions for integral transforms

Integral Transforms and Special Functions, 1996
The composition method for constructing convolutions for integral transforms are given. Several original convolutions are described for transforms of Fourier type.
V.A. Kakichev   +2 more
openaire   +1 more source

THE DISCRETE FOURIER TRANSFORM AND CYCLIC CONVOLUTION ON INTEGRAL LATTICES

Mathematics of the USSR-Sbornik, 1989
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
openaire   +1 more source

Generalized convolutions for the Fourier integral transforms and applications

2008
Summary: This paper provides some generalized convolutions for the Fourier integral transforms and treats the applications. Namely, there are six generalized convolutions with weight-function for the Fourier integral transforms. As for applications, the normed ring structures on \(L^1(\mathbb{R}^d)\) are constructed, and the explicit solution in \(L^1(\
Bui Thi Giang, Nguyen Minh Tuan
openaire   +3 more sources

Images Classification Integrating Transformer with Convolutional Neural Network

Advances in Engineering Technology Research, 2023
Convolutional neural networks (CNN) are one of the most widely used deep learning methods in computer vision, which can effectively extract local spatial information from images, but lack global understanding and dependency modelling of image features. As a result, contextual information cannot be fully utilized by the network.
openaire   +1 more source

Integrating Convolution and Transformer for Enhanced Diabetic Retinopathy Detection

International Journal of Bio-Inspired Computation, 2023
Xinrong Cao   +3 more
openaire   +1 more source

Sumudu transform and the solution of integral equations of convolution type

International Journal of Mathematical Education in Science and Technology, 2001
The convolution theorem for the Sumudu transform of a function which can be expressed as a polynomial or a convergent infinite series is proved and its applicability demonstrated in solving convolution type integral equations.
openaire   +1 more source

A note on convolution theorem for some integral transforms

AIP Conference Proceedings, 2023
Deepika Jain   +3 more
openaire   +1 more source

A class of integral transforms related to the fourier cosine convolution

Integral Transforms and Special Functions, 2005
In this work the class of integral transforms related to the Fourier cosine convolution is studied on L 2(R +). Watson’s type theorem is proved. The concept of the symmetric Fourier cosine kernel with a characteristic polynomial is defined. Plancherel’s theorem is formulated. The integral transforms with unsymmetric kernels are studied.
openaire   +1 more source

Home - About - Disclaimer - Privacy