On the uniqueness of continuous and discrete hard models of NMR-spectra

Abstract Lorentz, Gauss, Voigt and pseudo-Voigt functions play an important role in hard modeling of NMR spectra. This paper shows the uniqueness of continuous NMR hard models in terms of these functions by proving their linear independence. For the case of discrete hard models, where the spectra are represented by finite-dimensional vectors, criteria are given under which the models are also unique.

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Publication Details

Journal
Journal of Mathematical Chemistry
Published
2024-09-16
DOI
https://doi.org/10.1007/s10910-024-01673-x
Citations
1
Primary Topic
Neural Networks and Applications
Type
article
Field-Weighted Citation Impact
0.35

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article

On the uniqueness of continuous and discrete hard models of NMR-spectra

Klaus Neymeyr, Jan Hellwig
1 citations
Journal of Mathematical Chemistry
Neural Networks and Applications
0.35
article

On the uniqueness of continuous and discrete hard models of NMR-spectra

Klaus Neymeyr, Jan Hellwig
article en
1 citations

Abstract

Abstract Lorentz, Gauss, Voigt and pseudo-Voigt functions play an important role in hard modeling of NMR spectra. This paper shows the uniqueness of continuous NMR hard models in terms of these functions by proving their linear independence. For the case of discrete hard models, where the spectra are represented by finite-dimensional vectors, criteria are given under which the models are also unique.

Journal of Mathematical ChemistryVol. 63(1)
Leibniz Institute for Catalysis (DE), University of Rostock (DE)
Universität Rostock
Openalex Percentile: Top 33%
Neural Networks and Applications
0.35
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