Linear inversion

Statistical Learning of NMR tensors from 2D Isotropic/Anisotropic Correlation Nuclear Magnetic Resonance Spectra

Many linear inversion problems involving Fredholm integrals of the first kind are frequently encountered in the field of magnetic resonance. One important application is the direct inversion of a solid-state NMR spectrum containing multiple …

mrinversion

Statistical learning-based linear inversion of 2D isotropic/anisotropic NMR correlation spectrum into 3D tensor parameters distribution.