APPLICATION OF MULTIVARIATE STATISTICAL-ANALYSIS TO TIME-DEPENDENT SPECTROSCOPY

被引：15
作者：
BONNET, N
SIMOVA, E
THOMAS, X
机构：
[1] HIGHER INST MECH ENGN, CTR APPL MATH, BU-116 SOFIA, BULGARIA
[2] UNIV REIMS, LASSI, F-51062 REIMS, FRANCE
来源：
MICROSCOPY MICROANALYSIS MICROSTRUCTURES | 1991年 / 2卷 / 01期
关键词：
D O I：
10.1051/mmm:0199100201012900
中图分类号：
TH742 [显微镜];
学科分类号：
摘要：
Time dependent spectroscopy is a promising method for the study of dynamic events by microanalysis. Since it produces a large amount of data, specialized data analysis procedures must be developed. Multivariate Statistical Analysis appears to be a good candidate since it allows data analysis without any a priori model of the evolution. It is also able to perform data processing (noise filtering for instance) and data extrapolation, such as the extrapolation to zero-dose. Some potential uses of this method are explored in several simulations as well as in an experimental example in the field of EDX spectroscopy.
引用
收藏
页码：129 / 142
页数：14
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