A nonlinear calibration transfer method based on joint kernel subspace

2021 ◽  
Vol 210 ◽  
pp. 104247
Author(s):  
Peng Shan ◽  
Yuhui Zhao ◽  
Qiaoyun Wang ◽  
Shuyu Wang ◽  
Yao Ying ◽  
...  
Keyword(s):  
Calibration Transfer ◽  
Transfer Method ◽  
Nonlinear Calibration

Scalable calibration transfer without standards via dynamic time warping for near-infrared spectroscopy

2019 ◽  
Vol 11 (35) ◽  
pp. 4481-4493 ◽  
Author(s):  
Congming Zou ◽  
Huimin Zhu ◽  
Junru Shen ◽  
Yue He ◽  
Jiaen Su ◽  
...  
Keyword(s):  
Infrared Spectroscopy ◽  
Near Infrared Spectroscopy ◽  
Dynamic Time Warping ◽  
Near Infrared ◽  
Nir Spectroscopy ◽  
Time Warping ◽  
Calibration Transfer ◽  
Transfer Method ◽  
Dynamic Time

A standard-free calibration transfer method has been developed for NIR spectroscopy based on variable penalty dynamic time warping.

Modified linear model correction: A calibration transfer method without standard samples

NIR news ◽  
2018 ◽  
Vol 29 (8) ◽  
pp. 24-27 ◽  
Author(s):  
Jin Zhang ◽  
Xiaoyu Cui ◽  
Wensheng Cai ◽  
Xueguang Shao
Keyword(s):  
Linear Model ◽  
Near Infrared ◽  
High Efficiency ◽  
Correction Method ◽  
Standard Samples ◽  
Calibration Transfer ◽  
Practical Applications ◽  
Model Correction ◽  
Transfer Method ◽  
Model Similarity

Calibration transfer without standard samples is essential for practical applications of near infrared spectroscopy because, sometimes, it is difficult or even impossible to obtain the standard samples for measuring their spectra on the secondary instrument. In this work, a modified linear model correction method is proposed for improving the transfer accuracy and computational efficiency. The constraint of linear model correction was replaced by a robust convex equation to restrict the model similarity in the optimization. The near infrared dataset of pharmaceutical tablet measured with different instruments are used to test the performance of the method. The result shows that a modified linear model correction achieves a high efficiency of the transfer while the computational complexity can be considerably reduced. The method may provide a robust way in practical application.

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