4S Peak Filling – baseline estimation by iterative mean suppression

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.

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