Application of Maximum-Entropy processing to NMR multidimensional datasets,partial sampling case

摘要

Multidimensional NMR experiments can be analysed with the Maximum Entropy method.This method permits the analysis of partially sampled data,which would not be analysed by the Fourier transform technique.This allows the set-up of alternative samplings,which optimize the acquisition time,as well as the sensitivity,and the resolution of the final spectra.In this study we show the implementation of this principle in the Gifa software.We consider random and radial samplings,and show,on simulated as well as real data,that the Maximum-Entropy method is able to recover all the features of the spectra,and permits in the same time gains in acquisition times ranging from 4 to 10.