Determining the number of pure chemical components in the mixed spectral data based on eigenvalue sequences transform
Author:
Affiliation:
1. Precision Opto-mechatronics Technology Key Laboratory of Education Ministry, School of Instrumentation Science and Opto-electronics Engineering; Beihang University; Beijing 100191 China
Funder
National Natural Science Foundation of China
Publisher
Wiley
Subject
Applied Mathematics,Analytical Chemistry
Reference19 articles.
1. Estimation of number of spectrally distinct signal sources in hyperspectral imagery;Chein;IEEE Trans Geosci Remote Sens,2004
2. Chemical rank estimation for second-order calibration by discrete Fourier transform coupled with robust statistical analysis;Yu;Chemom Intel Lab Syst,2015
3. Estimating the number of pure chemical components in a mixture by X-ray absorption spectroscopy;Alain;J Synchrotron Radiat,2014
4. Determination of rank by median absolute deviation (DRMAD): a simple method for determining the number of principal factors responsible for a data matrix;Malinowski;J Chemometr,2009
5. Determination of rank by augmentation (DRAUG);Malinowski;J Chemometr,2011
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