基于最小值点极化的连续背景光谱校正算法  

Algorithm of Continuous Background Correction Based on Polarized Minimum Spectrum

作　　者：林勇[1] 

机构地区：[1]安徽广播影视职业技术学院信息工程系,安徽合肥230011

出　　处：《泰山学院学报》2016年第3期67-72,共6页Journal of Taishan University

摘　　要：为有效去除原始光谱信号中的连续背景光谱,提出了一种基于最小值极化的连续背景光谱校正算法,并利用Lab VIEW和C语言混合编程,编写了软件仿真.利用等离子体发射光谱对软件测试的结果表明:该软件能够有效的选取最小值点,并基于最小值点准确评估背景光谱强度.经校正后的光谱强度略有降低,但各谱线形状和相对强度不受影响.In order to remove continuous background from original signal,a new method based on polarized minimum spectrum is proposed. Using mixed programming of Lab VIEW and C language,the software is written. The testing results of software with plasma emission spectrum indicate that,the minimum points can be selected effectively,and intensity of continuous background is evaluated accurately. The intensity of spectrum after correction is lower than that of original spectrum,but the correction process does not influence spectral shape and relative intensity.

关 键 词：最小值极化 连续背景 混合编程 光谱 

分 类 号：TP311.1[自动化与计算机技术—计算机软件与理论]