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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....
Autores principales: | , , , , |
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Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Blackwell Publishing Ltd
2013
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Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC3698697/ https://www.ncbi.nlm.nih.gov/pubmed/23847452 http://dx.doi.org/10.1002/cmr.a.21263 |