2022
DOI: 10.1007/s11868-022-00476-5
|View full text |Cite
|
Sign up to set email alerts
|

Linear canonical ripplet transform: theory and localization operators

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2

Citation Types

0
2
0

Year Published

2023
2023
2024
2024

Publication Types

Select...
6

Relationship

0
6

Authors

Journals

citations
Cited by 6 publications
(2 citation statements)
references
References 27 publications
0
2
0
Order By: Relevance
“…The linear canonical transform (LCT) [1][2][3] is a generalized form of the fractional Fourier transform (FrFT). As a linear integral transform with three parameter class, the LCT is more flexible than the FrFT and is a widely used analytical and processing tool in applied mathematics and engineering [4][5][6][7][8]. For analyzing and processing the non-stationary spectrum of finite-duration signals, Pei and Ding [9] proposed the discrete linear canonical transform (DLCT).…”
Section: Introductionmentioning
confidence: 99%
“…The linear canonical transform (LCT) [1][2][3] is a generalized form of the fractional Fourier transform (FrFT). As a linear integral transform with three parameter class, the LCT is more flexible than the FrFT and is a widely used analytical and processing tool in applied mathematics and engineering [4][5][6][7][8]. For analyzing and processing the non-stationary spectrum of finite-duration signals, Pei and Ding [9] proposed the discrete linear canonical transform (DLCT).…”
Section: Introductionmentioning
confidence: 99%
“…Recently, the field of time-frequency analysis has attired many researchers. For examples, we note that Ben Hamadi and all have studied the generalized Fourier multipliers in [4] and the uncertainty principles associated with some integral transforms [5,6], Ghobber and all in [17][18][19] have studied the wavelet multipliers in the Bessel setting and the theory of localization for some integral transforms, Lamouchi and all have also studied some problems of time-frequency analysis in [27,28], for the spherical mean operator and for the short time Fourier transform, Mejjaoli in [31][32][33][34] has studied the wavelet multipliers in the Dunkl and the deformed Fourier settings, Sraeib in [44,45] has studied the uncertainty principles in the quantum theory and the applications of the deformed Wigner transform to the Localization operators theory, Tantary and all in [43,46] have studied the localization operators and uncertainty principles for the Ridgelet transformation in the Clifford setting.…”
Section: Introductionmentioning
confidence: 99%