|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|
|Publisher / Ed. Institution :||Pergamon Press|
|License (according to publishing contract) :||Licence according to publishing contract|
|Type of review:||Peer review (Publication)|
|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|
|Appears in Collections:||Publikationen School of Engineering|
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