Title: Baseline subtraction using robust local regression estimation
Authors : Ruckstuhl, Andreas
Jacobson, Matthew P.
Field, Robert W.
Dodd, James A.
Published in : Journal of Quantitative Spectroscopy & Radiative Transfer
Volume(Issue) : 68
Issue : 2
Pages : 179
Pages to: 193
Publisher / Ed. Institution : Pergamon Press
Issue Date: 15-Jan-2001
License (according to publishing contract) : Licence according to publishing contract
Type of review: Peer review (Publication)
Language : English
Subjects : Baseline removal; Robust fitting; IDP; Lowess
Subject (DDC) : 530: Physics
Abstract: A technique entitled robust baseline estimation is introduced, which uses techniques of robust local regression to estimate baselines in spectra that consist of sharp features superimposed upon a continuous, slowly varying baseline. The technique is applied to synthetic spectra, to evaluate its capabilities, and to laser-induced fluorescence spectra of OH (produced from the reaction of ozone with hydrogen atoms). The latter example is a particularly challenging case for baseline estimation because the experimental noise varies as a function of frequency.
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Publication type: Article in scientific Journal
DOI : 10.1016/S0022-4073(00)00021-2
ISSN: 0022-4073
URI: https://digitalcollection.zhaw.ch/handle/11475/7214
Appears in Collections:Publikationen School of Engineering

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