A Convolution-Based Shearlet Transform in Free Metaplectic Domains
The free metaplectic transformation (FMT) is a multidimensional integral transform that encompasses a broader range of integral transforms, from the classical Fourier to the more recent linear canonical transforms. The aim of this study is to introduce a novel shearlet transform by employing the fre...
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Published in | Journal of mathematics (Hidawi) Vol. 2021; pp. 1 - 23 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Cairo
Hindawi
2021
Hindawi Limited |
Subjects | |
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Abstract | The free metaplectic transformation (FMT) is a multidimensional integral transform that encompasses a broader range of integral transforms, from the classical Fourier to the more recent linear canonical transforms. The aim of this study is to introduce a novel shearlet transform by employing the free metaplectic convolution structures. Besides obtaining the orthogonality relation, inversion formula, and range theorem, we also study the homogeneous approximation property for the proposed transform. Towards the culmination, we formulate the Heisenberg and logarithmic-type uncertainty principles associated with the free metaplectic shearlet transform. |
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AbstractList | The free metaplectic transformation (FMT) is a multidimensional integral transform that encompasses a broader range of integral transforms, from the classical Fourier to the more recent linear canonical transforms. The aim of this study is to introduce a novel shearlet transform by employing the free metaplectic convolution structures. Besides obtaining the orthogonality relation, inversion formula, and range theorem, we also study the homogeneous approximation property for the proposed transform. Towards the culmination, we formulate the Heisenberg and logarithmic-type uncertainty principles associated with the free metaplectic shearlet transform. |
Author | Garg, Tarun K. Lone, Waseem Z. Mejjaoli, Hatem Shah, Firdous A. |
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Cites_doi | 10.1155/2020/8814998 10.1016/j.ijleo.2021.167689 10.1007/bf02649110 10.1007/s00041-009-9107-8 10.1080/01630563.2016.1212208 10.3390/math8101685 10.1016/j.ijleo.2018.08.135 10.1137/080741537 10.1007/s00041-019-09686-w 10.1080/10652469.2019.1707816 10.1007/3-7643-7575-2 10.1063/1.1665805 10.1007/s12190-017-1120-5 10.1007/s00041-011-9209-y 10.1137/0515012 10.1090/s0002-9939-1995-1254832-9 |
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Copyright | Copyright © 2021 Tarun K. Garg et al. Copyright © 2021 Tarun K. Garg et al. This is an open access article distributed under the Creative Commons Attribution License (the “License”), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. Notwithstanding the ProQuest Terms and Conditions, you may use this content in accordance with the terms of the License. https://creativecommons.org/licenses/by/4.0 |
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References | 11 12 M. G. Cowling (16) 1994; 15 13 14 15 1 2 3 4 5 6 7 8 9 10 |
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SubjectTerms | Approximation Convolution Fourier transforms Integral transforms Mathematics Orthogonality Uncertainty principles |
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Title | A Convolution-Based Shearlet Transform in Free Metaplectic Domains |
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