Solvent peak removal in nmr spectra using Bayesian analysis

In this paper we demonstrate the use of Bayesian analysis methods for the removal or suppression of solvent peaks from NMR spectra. Typically solvent peaks are the dominant feature in the NMR spectrum and often mask or seriously overlap smaller resonance from which important information of the molecule under study may be obtained. Although applied to NMR spectra, the method is general and may be applied to large peak suppression in most spectroscopic techniques.