2020
DOI: 10.1007/s00006-020-1042-4
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Quaternion Windowed Linear Canonical Transform of Two-Dimensional Signals

Abstract: We investigate the 2D quaternion windowed linear canonical transform (QWLCT) in this paper. Firstly, we propose the new definition of the QWLCT, and then several important properties of newly defined QWLCT, such as bounded, shift, modulation, orthogonality relation, are derived based on the spectral representation of the quaternionic linear canonical transform (QLCT). Secondly, by the Heisenberg uncertainty principle for the QLCT and the orthogonality relation property for the QWLCT, the Heisenberg uncertainty… Show more

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Cited by 33 publications
(18 citation statements)
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“…Firstly, we present some important properties of the QWLCT. These properties have been proved in [22]. Secondly, based on the relationship between the QWLCT and the QFT, the Pitt's inequality and Lieb inequality associated with the QWLCT are demonstrated.…”
Section: Discussionmentioning
confidence: 90%
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“…Firstly, we present some important properties of the QWLCT. These properties have been proved in [22]. Secondly, based on the relationship between the QWLCT and the QFT, the Pitt's inequality and Lieb inequality associated with the QWLCT are demonstrated.…”
Section: Discussionmentioning
confidence: 90%
“…In this subsection, we present several basic properties of the QWLCT. These properties have been proved in [21,22] .…”
Section: Some Properties Of Qwlctmentioning
confidence: 89%
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“…Because of the non-commutative property of multiplication of quaternions, there are mainly three various types of 2D quaternion linear canonical transform (QLCTs): two-sided QLCTs, left-sided QLCTs and right-sided QLCTs (refer to [14]). Based on the (two-sided) QLCT [13], the quaternion windowed linear canonical transform of 2D quaternionic signals has been introduced by Wen-Biao Gao and Bing-Zhao Li in [30]. It can reveal the local QLCT-frequency contents and enjoys high concentrations and eliminates the cross term, but it has limitation of having fixed window localization.…”
Section: Introductionmentioning
confidence: 99%