Sensitivity considerations on denoising series of spectra by singular value decomposition
© 2023 The Authors. Magnetic Resonance in Chemistry published by John Wiley & Sons Ltd.
| Publié dans: | Magnetic resonance in chemistry : MRC. - 1985. - 61(2023), 6 vom: 23. Juni, Seite 373-379 |
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| Auteur principal: | |
| Autres auteurs: | , |
| Format: | Article en ligne |
| Langue: | English |
| Publié: |
2023
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| Accès à la collection: | Magnetic resonance in chemistry : MRC |
| Sujets: | Letter cross-polarization denoising processing sensitivity time-efficiency of NMR experiments |
| Résumé: | © 2023 The Authors. Magnetic Resonance in Chemistry published by John Wiley & Sons Ltd. When acquiring series of spectra ( T 1 , T 2 , CP buildup curves, etc.) on samples with poor SNR, we are usually faced with choosing between taking a few points with a large number of scans to maximize the SNR or more points with a smaller number of scans to maximize the information content. In this Letter, we show how low-rank decomposition can be used to denoise a series of spectra, reducing the trade-off between the number of scans and the number of experiments |
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| Description: | Date Completed 10.05.2023 Date Revised 10.05.2023 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
| ISSN: | 1097-458X |
| DOI: | 10.1002/mrc.5338 |