Dual dynamic kernel filtering: Accurate time-frequency representation, reconstruction, and denoising

Dual dynamic kernel filtering: Accurate time-frequency representation, reconstruction, and denoising

<p>Time-frequency analysis plays a critical role in characterizing non-stationary signals such as electrocardiograms (ECG), where both spectral and temporal details are paramount. In this study, we introduce Dual Dynamic Kernel Filtering (2DKF) for time-frequency decomposition, emphasizing how...

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Bibliographic Details
Main Author: Skander Bensegueni (21797279) (author)
Other Authors: Samir Brahim Belhaouari (16855434) (author), Yunis Carreon Kahalan (21797282) (author)
Published: 2025
Subjects:
Engineering
Biomedical engineering
Communications engineering
Information and computing sciences
Machine learning
Dual dynamic kernel filtering (2DKF)
Time-frequency decomposition (TFD)
Signal reconstruction
Noise filtering
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