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|a 10.1002/mrc.5338
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|a eng
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|a Bruno, Francesco
|e verfasserin
|4 aut
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|a Sensitivity considerations on denoising series of spectra by singular value decomposition
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|c 2023
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|a Text
|b txt
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|a ƒaComputermedien
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|a Date Completed 10.05.2023
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|a Date Revised 10.05.2023
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|a published: Print-Electronic
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|a Citation Status PubMed-not-MEDLINE
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|a © 2023 The Authors. Magnetic Resonance in Chemistry published by John Wiley & Sons Ltd.
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|a 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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|a Letter
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|a cross-polarization
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|a denoising
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|a processing
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|a sensitivity
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|a time-efficiency of NMR experiments
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|a Fiorucci, Letizia
|e verfasserin
|4 aut
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|a Ravera, Enrico
|e verfasserin
|4 aut
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|i Enthalten in
|t Magnetic resonance in chemistry : MRC
|d 1985
|g 61(2023), 6 vom: 23. Juni, Seite 373-379
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