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- W2809863584 abstract "Summary As three dimensional (3D) NMR spectrum could provide distributions of longitudinal relaxation time (T1), transverse relaxation time (T2) and diffusivity (D) simultaneously, it greatly improves the capacity of fluid identification, typing and quantitative evaluation. However, several challenges, which significantly hindering its wide applications, still exist. One of them is the expensive time and memory cost of the current 3D NMR inversion algorithms. In this paper, a novel 3D NMR inversion, namely randomized singular value decomposition (RSVD), was introduced. It could reduce the memory occupation and ensure the computational efficiency and accuracy. To further speed up the computational speed, window averaging technique (WA) is also adopted in this paper. Because of the efficiency and stability of this novel algorithm and the optimized method, the current research in this paper would further promote the widespread application of 3D NMR." @default.
- W2809863584 created "2018-07-10" @default.
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- W2809863584 date "2018-06-11" @default.
- W2809863584 modified "2023-09-26" @default.
- W2809863584 title "A Novel Efficient Inversion Method for Three-Dimensional NMR" @default.
- W2809863584 doi "https://doi.org/10.3997/2214-4609.201800782" @default.
- W2809863584 hasPublicationYear "2018" @default.
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