Journal
ANALYTICA CHIMICA ACTA
Volume 683, Issue 1, Pages 63-68Publisher
ELSEVIER SCIENCE BV
DOI: 10.1016/j.aca.2010.08.033
Keywords
Asymmetric least squares; Multiple spectra baseline correction; Relaxation factor
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Funding
- National Natural Science Foundation of China [60972126, U0935002/L05]
- Beijing Municipal Natural Science Foundation [4102060]
- National Natural Science of China [61032007]
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In this paper, based on asymmetric least squares smoothing, a new algorithm for multiple spectra baseline correction is proposed. By means of the similarity among the multiple spectra, the algorithm estimates the baselines by penalizing the differences in the baseline corrected signals, which makes the algorithm possible to eliminate scatter effects on the spectra. In addition, a relaxation factor which measures the similarity of the baseline corrected spectra is incorporated into the optimization model and an alternate iteration strategy is used to solve the optimization problem. The proposed algorithm is fast and can output multiple baselines simultaneously. Experimental results on both simulated data and real data demonstrate the effectiveness and efficiency of the algorithm. (C) 2010 Elsevier B.V. All rights reserved.
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