A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy

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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Bibliographic Details
Main Authors: Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee
Format: Article
Language:English
Published: SpringerOpen 2025-02-01
Series:Journal of Analytical Science and Technology
Subjects:
Nuclear magnetic resonance (NMR)
Free induction decay (FID)
Fourier transform (FT)
Deep learning
Online Access:https://doi.org/10.1186/s40543-025-00474-4
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