An infrared spectral calibration method based on material characteristic spectrum

Optik ◽

10.1016/j.ijleo.2019.163231 ◽

2019 ◽

Vol 198 ◽

pp. 163231

Author(s):

Yan Chen ◽

Shuhua Wang ◽

Guangping Wang ◽

Weili Chen

Keyword(s):

Calibration Method ◽

Material Characteristic ◽

Characteristic Spectrum ◽

Spectral Calibration ◽

Infrared Spectral

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An in Situ Spectral Calibration Method for the Thomson Scattering Diagnostic for New Fusion Experiments

Fusion Science & Technology ◽

10.13182/fst15-179 ◽

2016 ◽

Vol 69 (2) ◽

pp. 546-554

Author(s):

Hiroshi Tojo ◽

Takaki Hatae ◽

Kiyoshi Itami

Keyword(s):

Calibration Method ◽

Thomson Scattering ◽

Spectral Calibration ◽

Thomson Scattering Diagnostic ◽

Fusion Experiments

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A new spectral calibration method for Fourier domain optical coherence tomography

Optik ◽

10.1016/j.ijleo.2008.12.016 ◽

2010 ◽

Vol 121 (11) ◽

pp. 965-970 ◽

Author(s):

Chao Ding ◽

Peng Bu ◽

Xiangzhao Wang ◽

Osami Sasaki

Keyword(s):

Optical Coherence Tomography ◽

Calibration Method ◽

Fourier Domain ◽

Optical Coherence ◽

Spectral Calibration

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A Spectral Calibration Method in Optical Coherence Tomography Based on Interference Signal with Fixed Optical Path Difference

Chinese Journal of Lasers ◽

10.3788/cjl201845.0607005 ◽

2018 ◽

Vol 45 (6) ◽

pp. 0607005

Author(s):

王瑄 Wang Xuan ◽

李中梁 Li Zhongliang ◽

南楠 Nan Nan ◽

步扬 Bu Yang ◽

曾爱军 Zeng Aijun ◽

...

Keyword(s):

Optical Coherence Tomography ◽

Calibration Method ◽

Optical Path Difference ◽

Path Difference ◽

Optical Path ◽

Interference Signal ◽

Optical Coherence ◽

Spectral Calibration

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Spectral calibration method for all-reflected Fourier transform imaging spectrometer

10.1117/12.806914 ◽

2008 ◽

Author(s):

Deqi Cui ◽

Ningfang Liao ◽

Ling Ma ◽

Minyong Liang ◽

Yu Lin

Keyword(s):

Fourier Transform ◽

Calibration Method ◽

Imaging Spectrometer ◽

Spectral Calibration

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Semi-Supervised Machine Learning Algorithm in Near Infrared Spectral Calibration: A Case Study on Diesel Fuels

Advanced Science Letters ◽

10.1166/asl.2012.3044 ◽

2012 ◽

Vol 11 (1) ◽

pp. 416-419

Author(s):

Songjing Wan ◽

Di Wu ◽

Kangsheng Liu

Keyword(s):

Machine Learning ◽

Near Infrared ◽

Learning Algorithm ◽

Supervised Machine Learning ◽

Machine Learning Algorithm ◽

Diesel Fuels ◽

Spectral Calibration ◽

Infrared Spectral

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Semi-supervised Machine Learning Algorithm in Near Infrared Spectral Calibration: A Case Study to Determine Cetane Number and Total Aromatics of Diesel Fuels

2012 Fifth International Conference on Intelligent Computation Technology and Automation ◽

10.1109/icicta.2012.84 ◽

2012 ◽

Author(s):

Songjing Wang ◽

Di Wu ◽

Kangsheng Liu

Keyword(s):

Machine Learning ◽

Near Infrared ◽

Learning Algorithm ◽

Cetane Number ◽

Supervised Machine Learning ◽

Machine Learning Algorithm ◽

Diesel Fuels ◽

Spectral Calibration ◽

Infrared Spectral

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NIST Low-background infrared spectral calibration facility

10.1088/0026-1394/32/6/44 ◽

1995 ◽

Vol 32 (6) ◽

pp. 621-624 ◽

Author(s):

S R Lorentz ◽

S C Ebner ◽

J H Walker ◽

R U Datla

Keyword(s):

Low Background ◽

Spectral Calibration ◽

Infrared Spectral ◽

Calibration Facility

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In situ spectral calibration method for the impurity influx monitor (divertor) for ITER using angled physical contact fibers

Review of Scientific Instruments ◽

10.1063/1.3559117 ◽

2011 ◽

Vol 82 (3) ◽

pp. 033502 ◽

Author(s):

A. Iwamae ◽

H. Ogawa ◽

T. Sugie ◽

Y. Kusama

Keyword(s):

Calibration Method ◽

Physical Contact ◽

Spectral Calibration

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Partial least squares-based multivariate spectral calibration method for simultaneous determination of beta-carboline derivatives in Peganum harmala seed extracts

Analytica Chimica Acta ◽

10.1016/j.aca.2006.05.093 ◽

2006 ◽

Vol 575 (2) ◽

pp. 290-299 ◽

Author(s):

Bahram Hemmateenejad ◽

Abdolkarim Abbaspour ◽

Homeyra Maghami ◽

Ramin Miri ◽

Mohhamad Reza Panjehshahin

Keyword(s):

Least Squares ◽

Simultaneous Determination ◽

Partial Least Squares ◽

Calibration Method ◽

Peganum Harmala ◽

Spectral Calibration ◽

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Application of an Integration of Uninformative Variable Elimination and Least-Squares Support Vector Machine for Discriminating Soy Milk Powder Based on Visual Near-Infrared Spectral Calibration: Disc

2009 International Workshop on Intelligent Systems and Applications ◽

10.1109/iwisa.2009.5072740 ◽

2009 ◽

Author(s):

Xiaojing Chen ◽

Meng Xu ◽

Xiangou Zhu ◽

Xinxiang Lei

Keyword(s):

Support Vector Machine ◽

Least Squares ◽

Near Infrared ◽

Milk Powder ◽

Support Vector ◽

Soy Milk ◽

Variable Elimination ◽

Spectral Calibration ◽

Infrared Spectral ◽

Uninformative Variable Elimination

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