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The Bessel wavelet transform
Record Type:
Language materials, printed : Monograph/item
Title/Author:
The Bessel wavelet transform/ by Santosh Kumar Upadhyay, Jay Singh Maurya.
Author:
Upadhyay, Santosh Kumar.
other author:
Maurya, Jay Singh.
Published:
Singapore :Springer Nature Singapore : : 2025.,
Description:
xi, 212 p. :ill. (chiefly col., digital ; : 24 cm.;
Contained By:
Springer Nature eBook
Subject:
Bessel functions. -
Online resource:
https://doi.org/10.1007/978-981-96-9938-4
ISBN:
9789819699384
The Bessel wavelet transform
Upadhyay, Santosh Kumar.
The Bessel wavelet transform
[electronic resource] /by Santosh Kumar Upadhyay, Jay Singh Maurya. - Singapore :Springer Nature Singapore :2025. - xi, 212 p. :ill. (chiefly col., digital ;24 cm. - Industrial and applied mathematics,2364-6845. - Industrial and applied mathematics..
This book presents the theory of Bessel wavelet transformation involving Hankel transformation. Several properties of the Bessel wavelet transform are discussed in the classical and distributional sense. Other related results of Hankel transform, Hankel convolution and basic results of distributions are also explained. Throughout the book, the reader is assumed to have an understanding of the elements of analysis. Introductory chapters cover the prerequisites for distribution theory. This book is useful for graduate students and researchers in mathematics, physics, engineering and applied sciences.
ISBN: 9789819699384
Standard No.: 10.1007/978-981-96-9938-4doiSubjects--Topical Terms:
1198501
Bessel functions.
LC Class. No.: QA403.3
Dewey Class. No.: 515.2433
The Bessel wavelet transform
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This book presents the theory of Bessel wavelet transformation involving Hankel transformation. Several properties of the Bessel wavelet transform are discussed in the classical and distributional sense. Other related results of Hankel transform, Hankel convolution and basic results of distributions are also explained. Throughout the book, the reader is assumed to have an understanding of the elements of analysis. Introductory chapters cover the prerequisites for distribution theory. This book is useful for graduate students and researchers in mathematics, physics, engineering and applied sciences.
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Mathematics and Statistics (SpringerNature-11649)
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