Empirical Wavelet Frames

Due to their adaptive nature, empirical wavelets (EWs) had several successes in many fields from engineering, science, medical signal/image processing. Recently, a general theoretical framework has been developed in the one-dimensional case, showing the possibility to build EWs from any classic mother wavelets. Given extensive literature both in theory and applications of classic wavelet frames, it is legitimate to ask about the feasibility of building EW frames. We address this question in this paper. We prove several results which provide conditions on the existence of EW frames taking into account the above-mentioned adaptability.

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Publication Details

Journal
Advances in Data Science and Adaptive Analysis
Published
2025-01-10
DOI
https://doi.org/10.1142/s2424922x25500019
Citations
1
Primary Topic
Blind Source Separation Techniques
Type
article
Field-Weighted Citation Impact
1.49
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article

Empirical Wavelet Frames

Jérôme Gilles, R.G. Castro
1 citations
Advances in Data Science and Adaptive Analysis
Blind Source Separation Techniques
1.49
article

Empirical Wavelet Frames

Jérôme Gilles, R.G. Castro
article en
1 citations

Abstract

Due to their adaptive nature, empirical wavelets (EWs) had several successes in many fields from engineering, science, medical signal/image processing. Recently, a general theoretical framework has been developed in the one-dimensional case, showing the possibility to build EWs from any classic mother wavelets. Given extensive literature both in theory and applications of classic wavelet frames, it is legitimate to ask about the feasibility of building EW frames. We address this question in this paper. We prove several results which provide conditions on the existence of EW frames taking into account the above-mentioned adaptability.

Advances in Data Science and Adaptive AnalysisVol. 17(01n02)
San Diego State University (US)
Peace, Justice and strong institutions
Openalex Percentile: Top 24%
Blind Source Separation Techniques
1.49
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Empirical Wavelet Frames — Jérôme Gilles, R.G. Castro · Advances in Data Science and Adaptive Analysis (2025) | TGRS Research Map | TGRS