File Download
There are no files associated with this item.
SFX Link
- Find it @ UNIST can give you direct access to the published full text of this article. (UNISTARs only)
- Shin, Hyeon Suk
- Lab for Carbon and 2D Materials
Views & Downloads
Detailed Information
Cited time in 
Cited time in 
Cited time in
Metadata Downloads
New approach to generalized two-dimensional correlation spectroscopy. 1: Combination of principal component analysis and two-dimensional correlation spectroscopy
- Author(s)
- Jung, YM, Shin, Hyeon Suk, Bin Kim, S, Noda, I
- Issued Date
- 2002-12
- Citation
- APPLIED SPECTROSCOPY, v.56, no.12, pp.1562 - 1567
- Abstract
- The direct combination of chemometrics and two-dimensional (2D) correlation spectroscopy is considered. The use of a reconstructed data matrix based on the significant scores and loading vectors obtained from the principal component analysis (PCA) of raw spectral data is proposed as a method to improve the data quality for 2D correlation analysis. The synthetic noisy spectra were analyzed to explore the novel possibility of the use of PCA-reconstructed spectra, which are highly noise suppressed, 2D correlation analysis of this reconstructed data matrix, instead of the raw data matrix, can significantly reduce the contribution of the noise component to the resulting 2D correlation spectra.
- Publisher
- SOC APPLIED SPECTROSCOPY
- ISSN
- 0003-7028
Items in Repository are protected by copyright, with all rights reserved, unless otherwise indicated.