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J. Renwick Beattie and John J. McGarvey Estimation of signal backgrounds on multivariate loadings improves model generation in face of complex variation in backgrounds and constituents Journal of Raman Spectroscopy 44

Version of Record online: 26 SEP 2012 | DOI: 10.1002/jrs.4178

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Background estimation using the traditional per-signal paradigm is compared with estimation on the loadings obtained from SVD of a whole dataset. Estimating baseline correction on SVD loadings rather than on individual signals significantly improves the model quality from subsequent data analysis. This is due to the ability of using the SVD-based approach to handle multiple complex background sources and multiple chemical contributors with inconsistent baseline points.

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