Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting
Time series decomposition enables the extraction of meaningful components by filtering out irrelevant or noisy frequencies. This study investigates the use of four transformation techniques—three wavelet-based (Haar, Symlets, Daubechies) and one Fourier-based (Discrete Fourier Transform)—to reconst...
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| Main Authors: | , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
LibraryPress@UF
2025-05-01
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| Series: | Proceedings of the International Florida Artificial Intelligence Research Society Conference |
| Subjects: | |
| Online Access: | https://journals.flvc.org/FLAIRS/article/view/139016 |
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