title: 4S Peak Filling - baseline estimation by iterative mean suppression.
abstract: A novel baseline estimation procedure building on previously published works is presented. •The core of the estimation is an iterative spectrum suppression consisting of a moving window minimum replacement (adapted from Friedrichs [1]).•Four, easily understandable, parameters control placement of the baseline relative to the noise band around the signal (adapted from Eilers [2]) and the flexibility in different situations.•The method is especially suited for non-linear baselines with local variations and for resolving peak clusters in qualitative analyses.
authors.affiliation: Norwegian University of Life Sciences, 1430 Ås, Norway ; Nofima - Norwegian Institute of Food, Fisheries and Aquaculture Research, 1432 Ås, Norway.
authors.forename: Kristian Hovde
authors.initials: KH
authors.lastname: Liland
keywords: Baseline estimation; Baseline estimation by iterative mean suppression; Interpolation; Moving window; Noise; Smoothing; Subsampling