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Laplace Inversion of Low-Resolution NMR Relaxometry Data Using Sparse Representation Methods
Low-resolution nuclear magnetic resonance (LR-NMR) relaxometry is a powerful tool that can be harnessed for characterizing constituents in complex materials. Conversion of the relaxation signal into a continuous distribution of relaxation components is an ill-posed inverse Laplace transform problem....
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| Autori principali: | , , , , |
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| Natura: | Artigo |
| Lingua: | Inglês |
| Pubblicazione: |
Blackwell Publishing Ltd
2013
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| Soggetti: | |
| Accesso online: | https://ncbi.nlm.nih.gov/pmc/articles/PMC3698697/ https://ncbi.nlm.nih.gov/pubmed/23847452 https://ncbi.nlm.nih.govhttp://dx.doi.org/10.1002/cmr.a.21263 |
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