4S Peak Filling – baseline estimation by iterative mean suppression | Zendy

Kristian Hovde Liland | Zendy

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4S Peak Filling – baseline estimation by iterative mean suppression

Author(s) -

Kristian Hovde Liland

Publication year - 2015

Publication title -

methodsx

Language(s) - English

Resource type - Journals

SCImago Journal Rank - 0.356

H-Index - 23

ISSN - 2215-0161

DOI - 10.1016/j.mex.2015.02.009

Subject(s) - baseline (sea) , flexibility (engineering) , noise (video) , core (optical fiber) , estimation , signal (programming language) , iterative method , computer science , algorithm , mathematics , statistics , engineering , artificial intelligence , telecommunications , oceanography , image (mathematics) , programming language , geology , systems engineering

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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