New approach to generalized two-dimensional correlation spectroscopy. II: Eigenvalue manipulation transformation (EMT) for noise suppression
SCIE
SCOPUS
- Title
- New approach to generalized two-dimensional correlation spectroscopy. II: Eigenvalue manipulation transformation (EMT) for noise suppression
- Authors
- Jung, YM; Kim, SB; Noda, I
- Date Issued
- 2003-05
- Publisher
- SOC APPLIED SPECTROSCOPY
- Abstract
- This paper introduces the concept of eigenvalue manipulating transformation (EMT) of a data matrix for noise suppression in two-dimensional (2D) correlation spectroscopy. The FT-IR spectra of a polystyrene/methyl ethyl ketone/toluene solution mixture during the solvent evaporation process, to which were added a substantial amount of artificial noise, have been analyzed. By uniformly raising the power of a set of eigenvalues, the major eigenvalues become more prominent. As a consequence, minor eigenvectors representing the noise component are no longer strongly represented in the reconstructed data. This EMT operation is similar to the simple truncation of noise-dominated minor factors practiced in standard principal component analysis (PCA), as demonstrated in our preceding paper on PCA-2D correlation spectroscopy. The effect of this new EMT scheme is more gradual, with attractive flexibility to continuously fine-tune the balance between the desired noise reduction effect and the retention of pertinent spectral information.
- URI
- https://oasis.postech.ac.kr/handle/2014.oak/9808
- DOI
- 10.1366/000370203321666597
- ISSN
- 0003-7028
- Article Type
- Article
- Citation
- APPLIED SPECTROSCOPY, vol. 57, no. 5, page. 557 - 563, 2003-05
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