On orthogonal signal correction
On orthogonal signal correction
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DOI：
10.1016/s0169-7439(99)00045-3
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发表时间：
2000-01-04
影响因子：
3.9
通讯作者：
Fearn, T
中科院分区：
文献类型：
--
作者：
Fearn, T
提出了一种新的正交信号校正算法，并与现有算法进行了比较，最后以近红外光谱为例进行了说明。给定光谱或其他高维数据的矩阵X和相同样品上的浓度或其他参考测量的向量或矩阵Y，正交信号校正从X因子中减去尽可能多地解释X中的方差并且与Y正交的因子。目的是提高后续Y对X的偏最小二乘（PLS）回归的性能。(C)2000 Elsevier Science B.V.保留所有权利。
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.