A New Wavelet Transform and Its Localization Operators

In the present paper we define and study a new wavelet transformation associated to the linear canonical Dunkl transform (LCDT), which has been widely used in signal processing and other related fields. Then we define and study a class of pseudo-differential operators known as time-frequency (or localization) operators and we give criteria for its boundedness and Schatten class properties.

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Publication Details

Journal
Mathematics
Published
2025-05-26
DOI
https://doi.org/10.3390/math13111771
Citations
4
Primary Topic
Image and Signal Denoising Methods
Type
article
Field-Weighted Citation Impact
5.10

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article

A New Wavelet Transform and Its Localization Operators

Saifallah Ghobber, Hatem Mejjaoli
4 citations
Mathematics
Image and Signal Denoising Methods
5.10
article

A New Wavelet Transform and Its Localization Operators

Saifallah Ghobber, Hatem Mejjaoli
article en
4 citations

Abstract

In the present paper we define and study a new wavelet transformation associated to the linear canonical Dunkl transform (LCDT), which has been widely used in signal processing and other related fields. Then we define and study a class of pseudo-differential operators known as time-frequency (or localization) operators and we give criteria for its boundedness and Schatten class properties.

MathematicsVol. 13(11)
Taibah University (SA), King Faisal University (SA)
King Faisal University
Openalex Percentile: Top 5%
Image and Signal Denoising Methods
5.10
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