Abstract
A novel algorithm for automatic baseline extraction of gas absorption spectrum is proposed. It is based
on an automatic signal-free regions recognition that uses a difference of Gaussians function, followed by a baseline
fitting procedure based on segmented polynomial fitting and segmented kernel smoothing. This algorithm has been
applied to both simulated data and experimental data. The results show that this algorithm can extract baseline of
spectrum with a wide range of possible baseline types, is tolerant to low signal-to-noise ratio spectrum, and to
signals of varying widths in a single spectrum. Moreover, the efficiency of the algorithm is tested by accurately
detecting the absorbance of experimental CO
$_{2}$
absorption
spectrum and C
$_{2}$
H
$_{2}$
absorption spectrum.
© 2013 IEEE
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