A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy
Abstract When analyzing the Free Induction Decay (FID) signal produced by nuclear magnetic resonance (NMR) spectroscopy, Fourier transforms (FT) are used to decompose time-domain signals arising from nuclear interactions. This transformation enables the extraction of frequency-domain information, al...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
| Published: |
SpringerOpen
2025-02-01
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| Series: | Journal of Analytical Science and Technology |
| Subjects: | |
| Online Access: | https://doi.org/10.1186/s40543-025-00474-4 |
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