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Novel Uncertainty Principles Concerning Linear Canonical Wavelet Transform
by
Karim, Samsul Ariffin Abdul
, Bahri, Mawardi
in
Food science
/ Fourier transformations
/ Fourier transforms
/ linear canonical wavelet transform
/ logarithmic uncertainty principle
/ Mathematical functions
/ Pitt’s inequality
/ Principles
/ Quantum physics
/ Uncertainty (Information theory)
/ uncertainty principle
/ Uncertainty principles
/ Wavelet transforms
2022
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Novel Uncertainty Principles Concerning Linear Canonical Wavelet Transform
by
Karim, Samsul Ariffin Abdul
, Bahri, Mawardi
in
Food science
/ Fourier transformations
/ Fourier transforms
/ linear canonical wavelet transform
/ logarithmic uncertainty principle
/ Mathematical functions
/ Pitt’s inequality
/ Principles
/ Quantum physics
/ Uncertainty (Information theory)
/ uncertainty principle
/ Uncertainty principles
/ Wavelet transforms
2022
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Do you wish to request the book?
Novel Uncertainty Principles Concerning Linear Canonical Wavelet Transform
by
Karim, Samsul Ariffin Abdul
, Bahri, Mawardi
in
Food science
/ Fourier transformations
/ Fourier transforms
/ linear canonical wavelet transform
/ logarithmic uncertainty principle
/ Mathematical functions
/ Pitt’s inequality
/ Principles
/ Quantum physics
/ Uncertainty (Information theory)
/ uncertainty principle
/ Uncertainty principles
/ Wavelet transforms
2022
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Novel Uncertainty Principles Concerning Linear Canonical Wavelet Transform
Journal Article
Novel Uncertainty Principles Concerning Linear Canonical Wavelet Transform
2022
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Overview
The linear canonical wavelet transform is a nontrivial generalization of the classical wavelet transform in the context of the linear canonical transform. In this article, we first present a direct interaction between the linear canonical transform and Fourier transform to obtain the generalization of the uncertainty principles related to the linear canonical transform. We develop these principles for constructing some uncertainty principles concerning the linear canonical wavelet transform.
Publisher
MDPI AG
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