A fully automated algorithm of baseline correction based on wavelet feature points and segment interpolation

	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
推荐引用方式 GB/T 7714	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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