Noise perturbation in functional principal component analysis filtering for two-dimensional correlation spectroscopy: its theory and application to infrared spectra of a poly(3-hydroxybutyrate) thin film.

Abstract

A method based on noise perturbation in functional principal component analysis (NPFPCA) is for the first time introduced to overcome the noise interference problem in two-dimensional correlation spectroscopy (2D-COS). By the systematic addition of synthetic noise to the dynamic multivariate spectral data, the functional principal component analysis (FPCA… (More)

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@article{Hu2006NoisePI, title={Noise perturbation in functional principal component analysis filtering for two-dimensional correlation spectroscopy: its theory and application to infrared spectra of a poly(3-hydroxybutyrate) thin film.}, author={Yun Hu and Boyan Li and Harumi Sato and Isao Noda and Yukihiro Ozaki}, journal={The journal of physical chemistry. A}, year={2006}, volume={110 39}, pages={11279-90} }