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

PDF Article

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription

Cited By

You do not have subscription access to this journal. Cited by links are available to subscribers only. You may subscribe either as an OSA member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access OSA Member Subscription