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Automated algorithm for baseline subtraction in spectra
Author(s) -
Rowlands Christopher,
Elliott Stephen
Publication year - 2011
Publication title -
journal of raman spectroscopy
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.748
H-Index - 110
eISSN - 1097-4555
pISSN - 0377-0486
DOI - 10.1002/jrs.2691
Subject(s) - baseline (sea) , noise (video) , spectral line , algorithm , subtraction , signal (programming language) , derivative (finance) , computer science , background subtraction , signal to noise ratio (imaging) , artificial intelligence , mathematics , physics , arithmetic , telecommunications , geology , oceanography , pixel , economics , image (mathematics) , programming language , astronomy , financial economics
A method for the automatic removal of a baseline in various types of spectra is proposed. The local values of the second derivative are used to distinguish between peaks and background, and the algorithm requires no user input. The performance is arguably better than all others tested in low‐noise environments with varying baseline intensities, and comparable with the best routines in the case of spectra with a low signal‐to‐noise ratio. Copyright © 2010 John Wiley & Sons, Ltd.