期刊
SPECTROCHIMICA ACTA PART A-MOLECULAR AND BIOMOLECULAR SPECTROSCOPY
卷 161, 期 -, 页码 58-63出版社
PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.saa.2016.02.016
关键词
Raman spectrum; Background subtraction; Auto-adaptive
类别
资金
- National Special Fund for Major Research Equipment and Instruments of China [2011YQ03012417]
- National Natural Science Foundation of China [21473140, 61379157]
- Shenzhen City Special Fund for Strategic Emerging Industries [JCYJ20120830153030584]
- Sichuan Provincial Department Science and Technology [2014SZ0107, 2015GZ0333]
Background subtraction is a crucial step in the preprocessing of Raman spectrum. Usually, parameter manipulating of the background subtraction method is necessary for the efficient removal of the background, which makes the quality of the spectrum empirically dependent. In order to avoid artificial bias, we proposed an auto-adaptive background subtraction method without parameter adjustment. The main procedure is: (1) select the local minima of spectrum while preserving major peaks, (2) apply an interpolation scheme to estimate background, (3) and design an iteration scheme to improve the adaptability of background subtraction. Both simulated data and Raman spectra have been used to evaluate the proposed method. By comparing the backgrounds obtained from three widely applied methods: the polynomial, the Baek's and the airPLS, the auto-adaptive method meets the demand of practical applications in terms of efficiency and accuracy. (C) 2016 Elsevier B.V. All rights reserved.
作者
我是这篇论文的作者
点击您的名字以认领此论文并将其添加到您的个人资料中。
推荐
暂无数据