Investigation of a genetic algorithm based cubic spline smoothing for baseline correction of Raman spectra
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- 作者：Shixuan Hea ; Shaoxi Fanga ; Xiaohong Liub ; Wei Zhanga ; andyzhangwei@163.com" class="auth_mail" title="E-mail the corresponding author ; Wanyi Xiea ; Hua Zhanga ; Dapeng Weia ; Weiling Fub ; Desheng Peia
- 关键词：GaCspline ; genetic algorithm based cubic spline smoothing ; AsLS ; asymmetric least squares ; airPLS ; adaptive iteratively reweighted penalized least squares ; RMSE ; root mean square error ; SNR ; signal-to-noise ratio
- 刊名：Chemometrics and Intelligent Laboratory Systems
- 出版年：2016
- 出版时间：15 March 2016
- 年：2016
- 卷：152
- 期：Complete
- 页码：1-9
- 全文大小：1160 K
文摘
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The GaCspline baseline correction method for Raman spectra is proposed in this paper;
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The GaCspline can well handle the complex background and keep the Raman features;
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The GaCspline is better than AsLS and airPLS in background elimination.