Publication type: Article in scientific journal
Type of review: Peer review (publication)
Title: Baseline subtraction using robust local regression estimation
Authors: Ruckstuhl, Andreas
Jacobson, Matthew P.
Field, Robert W.
Dodd, James A.
DOI: 10.1016/S0022-4073(00)00021-2
Published in: Journal of Quantitative Spectroscopy & Radiative Transfer
Volume(Issue): 68
Issue: 2
Page(s): 179
Pages to: 193
Issue Date: 15-Jan-2001
Publisher / Ed. Institution: Elsevier
ISSN: 0022-4073
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.
Fulltext version: Published version
License (according to publishing contract): Licence according to publishing contract
Departement: School of Engineering
Organisational Unit: Institute of Data Analysis and Process Design (IDP)
Appears in collections:Publikationen School of Engineering

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