Baseline subtraction using robust local regression estimation

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 capa...

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Bibliographic Details
Published inJournal of quantitative spectroscopy & radiative transfer Vol. 68; no. 2; pp. 179 - 193
Main Authors Ruckstuhl, Andreas F., Jacobson, Matthew P., Field, Robert W., Dodd, James A.
Format Journal Article
LanguageEnglish
Published Elsevier Ltd 01.01.2001
Subjects
Baseline removal
LOWESS
Robust fitting
Smoothing
Robust fitting
Baseline removal
LOWESS
Smoothing
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Summary: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.
Bibliography:ObjectType-Article-2
SourceType-Scholarly Journals-1
ObjectType-Feature-1
content type line 23
ISSN:0022-4073
1879-1352
DOI:10.1016/S0022-4073(00)00021-2