Applications of Fast Iterative Filtering in NMR Spectroscopy: Baseline Correction

Fast iterative filtering (FIF) is a recently introduced signal decomposition technique related to empirical mode decomposition (EMD), which has been developed for the analysis of non-stationary signals. When applied to the analysis of NMR data, FIF effectively partitions broad and narrow features by decomposing signals into intrinsic mode functions. In this work, we prove that FIF excels at separating baseline components from peaks, even in heavily distorted spectra. This capability is precious for processing spectra of paramagnetic compounds.