摘要
基线校正是对傅里叶变换红外光谱仪光谱数据后续处理前重要的预处理步骤,多项式迭代拟合是基线校正的一种方法。为了进一步提高基线校正的速率,采用一种改进多项式迭代拟合算法,并以CO2光谱为例进行了理论分析和实验验证,取得了与多项式迭代拟合相同的校正效果。结果表明,该算法自动识别谱峰范围,仅对谱峰范围的光谱进行基线校正,减少了基线校正过程中的迭代次数,迭代次数从39次降到了11次,耗用时间从4.78s降至1.12s。这一结果对实现实时气体监测系统具有重要意义。
Baseline correction is an important preprocessing step before subsequent data processing of Fourier transform infrared （FTIR） spectra. Polynomial iterative fitting is one of the methods of baseline correction. In order to improve the speed of baseline correction, taking CO2 spectrum as example, an improved polynomial iterative fitting algorithm was used for theoretical analysis and experimental verification and the same correction result was achieved with polynomial iterative fitting algorithm. The algorithm automatically identify the range of peaks for baseline correction, reducing the number of iterations in the process of baseline correction. The number of iterations decreased from 39 to 11, the elapsed time reduced from 4.78s to 1.12s. The result is great significant for real-time gas monitoring systems.
出处
《激光技术》
CAS
CSCD
北大核心
2013年第2期223-226,共4页
Laser Technology
基金
国家自然科学基金资助项目(61040062
61127015)
国家国际科技合作项目基金资助项目(2012DFA10680)
山西省国际科技合作项目基金资助项目(2010081038)
关键词
傅里叶光学与光信号处理
基线校正
改进多项式迭代拟合
CO2光谱
Fourier optics and optic signal processing
baseline correction
improved method of polynomial iterative fittingbaseline correcting. CO~ soectra Key words： Fourier optics and optic signal processing
baseline correction
improved method of polynomial iterative fittingbaseline correcting
CO2 spectra
