Smoothed window factor analysis

被引：15

作者：

Chen, ZP ^{[1
]}

Jiang, JH ^{[1
]}

Li, Y ^{[1
]}

Shen, HL ^{[1
]}

Liag, YZ ^{[1
]}

Yu, RQ ^{[1
]}

机构：

[1] Hunan Univ, Coll Chem & Chem Engn, Changsha 410082, Peoples R China

来源：

ANALYTICA CHIMICA ACTA | 1999年 / 381卷 / 2-3期

关键词：

window factor analysis (WFA); smoothed window factor analysis (SWFA); smoothed principal component analysis (SPCA); roughness penalty;

D O I：

10.1016/S0003-2670(98)00740-5

中图分类号：

O65 [分析化学];

学科分类号：

070302 ; 081704 ;

摘要：

A smoothed window factor analysis (SWFA) based on smoothed principal component analysis (SPCA) is developed. The new method proposed possesses some attractive advantages over common window factor analysis (WFA). It can increase signal to noise ratio. The results of the simulated and real experiments showed SWFA can still perform well under the situations when the spectra of chemical compounds are very similar to each other, and there exist minor components or the signal to noise ratio is very low. (C) 1999 Elsevier Science B.V. All rights reserved.

引用

页码：233 / 246

页数：14

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