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Robust calibration model transfer

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成果类型:
期刊论文
作者:
Mou, Yi*;Zhou, Long;Yu, Shujian;Chen, WeiZhen;Zhao, Xu;...
通讯作者:
Mou, Yi
作者机构:
[Chen, WeiZhen; Zhou, Long; Zhao, Xu; Mou, Yi] Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan 430074, Peoples R China.
[You, Xinge] Huazhong Univ Sci & Technol, Dept Elect & Informat Engn, Wuhan 430074, Peoples R China.
[Yu, Shujian] Univ Florida, Dept Elect & Comp Engn, Gainesville, FL 32611 USA.
通讯机构:
[Mou, Yi] W
Wuhan Polytech Univ, Sch Elect & Elect Engn, Wuhan 430074, Peoples R China.
语种:
英文
关键词:
Infrared spectra;Model transfer;Subspace learning
期刊:
Chemometrics and Intelligent Laboratory Systems
ISSN:
0169-7439
年:
2016
卷:
156
页码:
62-71
基金类别:
For identical sample, spectra collected with master and slave spectrometers share same components. In the sense of mathematics, they share same basis. The differences between them are due to the representation coefficients, as shown in Fig. 1. If the same basis and corresponding coefficients are obtained, the model transfer can be efficiently realized. On the other hand, the performance of calibration model transfer method will degraded if there are outliers and noise in samples. In this paper,
机构署名:
本校为第一且通讯机构
院系归属:
电气与电子工程学院
摘要:
Calibration model transfer is an important issue in infrared spectra analysis. For identical sample, spectra collected with master and slave spectrometers share same components. In the sense of mathematics, they share same basis. If the basis and corresponding coefficient matrices can be obtained, the model transfer can be efficiently realized. On the other hand, the performance of calibration model transfer method will degrade if there are outliers and noise in samples. In this paper, a robust calibration transfer model is proposed. Cauchy est...

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