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Bulletin of the Korean Chemical Society (BKCS)

ISSN 0253-2964(Print)
ISSN 1229-5949(Online)
Volume 32, Number 7
BKCSDE 32(7)
July 20, 2011 

 
Title
Moving Window Principal Component Analysis for Detecting Positional Fluctuation of Spectral Changes
Author
Soo Ryeon Ryu, Isao Noda, Young Mee Jung*
Keywords
Moving window principal component analysis (MWPCA), 2D correlation spectroscopy, Peak position shifts, Principal component analysis (PCA)
Abstract
In this study, we proposed a new promising idea of utilizing moving window principal component analysis (MWPCA) as a sensitive diagnostic tool to detect the presence of peak position shift. In this approach, the moving window is constructed from a small data segment along the wavenumber axis. For each window bound by a narrow wavenumber region, separate PCA analysis was applied. Simulated spectra with complex spectral feature variations were analyzed to explore the possibility of MWPCA technique. This MWPCA-based detection of the peak shift, potentially coupled with 2D correlation analysis to provide additional verification, may offer an attractive solution.
Page
2332 - 2338
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