Uncertainty Principles for the Weinstein Wavelet Transform

In the present paper we explore the localization properties of the Weinstein continuous wavelet transform via entropy and we introduce a version of Lp local uncertainty inequalities.

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Publication Details

Journal
International Journal of Analysis and Applications
Published
2024-11-11
DOI
https://doi.org/10.28924/2291-8639-22-2024-211
Citations
1
Primary Topic
Image and Signal Denoising Methods
Type
article
Field-Weighted Citation Impact
0.25

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article

Uncertainty Principles for the Weinstein Wavelet Transform

Imen Ali Kallel, Ahmed Saoudi, Amel Touati
1 citations
International Journal of Analysis and Applications
Image and Signal Denoising Methods
0.25
article

Uncertainty Principles for the Weinstein Wavelet Transform

Imen Ali Kallel, Ahmed Saoudi, Amel Touati
article en
1 citations

Abstract

In the present paper we explore the localization properties of the Weinstein continuous wavelet transform via entropy and we introduce a version of Lp local uncertainty inequalities.

International Journal of Analysis and ApplicationsVol. 22
Northern Border University (SA)
Northern Border University
Reduced inequalities
Openalex Percentile: Top 45%
Image and Signal Denoising Methods
0.25
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Uncertainty Principles for the Weinstein Wavelet Transform — Imen Ali Kallel, Ahmed Saoudi, et al. · International Journal of Analysis and Applications (2024) | TGRS Research Map | TGRS