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A fully automated algorithm of baseline correction based on wavelet feature points and segment interpolation
Qian, F.; Y. H. Wu and P. Hao
2017
发表期刊Optics and Laser Technology
卷号96
摘要Baseline correction is a very important part of pre-processing. Baseline in the spectrum signal can induce uneven amplitude shifts across different wavenumbers and lead to bad results. Therefore, these amplitude shifts should be compensated before further analysis. Many algorithms are used to remove baseline, however fully automated baseline correction is convenient in practical application. A fully automated algorithm based on wavelet feature points and segment interpolation (AWFPSI) is proposed. This algorithm finds feature points through continuous wavelet transformation and estimates baseline through segment interpolation. AWFPSI is compared with three commonly introduced fully automated and semi-automated algorithms, using simulated spectrum signal, visible spectrum signal and Raman spectrum signal. The results show that AWFPSI gives better accuracy and has the advantage of easy use. (C) 2017 Published by Elsevier Ltd.
收录类别sci ; ei
语种英语
文献类型期刊论文
条目标识符http://ir.ciomp.ac.cn/handle/181722/59156
专题中科院长春光机所知识产出
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Qian, F.,Y. H. Wu and P. Hao. A fully automated algorithm of baseline correction based on wavelet feature points and segment interpolation[J]. Optics and Laser Technology,2017,96.
APA Qian, F.,&Y. H. Wu and P. Hao.(2017).A fully automated algorithm of baseline correction based on wavelet feature points and segment interpolation.Optics and Laser Technology,96.
MLA Qian, F.,et al."A fully automated algorithm of baseline correction based on wavelet feature points and segment interpolation".Optics and Laser Technology 96(2017).
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