On orthogonal signal correction

被引：291

作者：

Fearn, T ^{[1
]}

机构：

[1] UCL, Dept Stat Sci, London WC1E 6BT, England

来源：

CHEMOMETRICS AND INTELLIGENT LABORATORY SYSTEMS | 2000年 / 50卷 / 01期

关键词：

chemometrics; near infrared; spectroscopy; orthogonal signal correction; partial least squares;

D O I：

10.1016/S0169-7439(99)00045-3

中图分类号：

TP [自动化技术、计算机技术];

学科分类号：

0812 ;

摘要：

A new algorithm for orthogonal signal correction is presented, compared with existing algorithms, and illustrated on an example from near infrared spectroscopy. Given a matrix X of spectral or other high dimensional data and a vector or matrix Y of concentrations or other reference measurements on the same samples, orthogonal signal correction subtracts from X factors that account for as much as possible of the variance in X and are orthogonal to Y. The aim is to improve the performance of a subsequent partial least squares (PLS) regression of Y on X. (C) 2000 Elsevier Science B.V. All rights reserved.

引用

页码：47 / 52

页数：6

共 7 条

[1]

[Anonymous], 1966, MULTIVARIATE ANAL P

[2] LINEARIZATION AND SCATTER-CORRECTION FOR NEAR-INFRARED REFLECTANCE SPECTRA OF MEAT [J].