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Using Deep Neural Networks to Reconstruct Non-uniformly Sampled NMR Spectra
Non-uniform and sparse sampling of multi-dimensional NMR spectra has over the last decade become an important tool to allow for fast acquisition of multi-dimensional NMR spectra with high resolution. The success of non-uniform sampling NMR hinge on both the development of algorithms to accurately re...
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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Springer Netherlands
2019
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC6859195/ https://www.ncbi.nlm.nih.gov/pubmed/31292846 http://dx.doi.org/10.1007/s10858-019-00265-1 |