Wavelet orthogonal signal correction

Autor:	Steven D. Brown, Robert N. Feudale, Yang Liu, Nathaniel A. Woody, Huwei Tan
Rok vydání:	2005
Předmět:	Chemometrics Signal processing Wavelet Computer science Applied Mathematics Speech recognition Partial least squares regression Orthogonal signal correction Near-Infrared Spectrometry Filter (signal processing) Prism Algorithm Analytical Chemistry
Zdroj:	Journal of Chemometrics. 19:55-63
ISSN:	1099-128X 0886-9383
DOI:	10.1002/cem.907
Popis:	In this paper a novel signal-preprocessing technique that combines the local and multiscale properties of the wavelet prism with the global filtering capability of orthogonal signal correction (OSC) is presented for the pretreatment of spectroscopic data. In this hybrid method, referred to as wavelet OSC (WOSC), a separate OSC filter is applied to each frequency component generated from a wavelet prism decomposition. The combination of wavelet prism and OSC is shown to be complementary, as the prediction results obtained in subsequent partial least squares (PLS) calibrations using WOSC are superior to those obtained using either the wavelet prism or OSC independently. The ability of WOSC to remove undesirable background effects and enhance subsequent PLS models is demonstrated with two near-infrared data sets. Copyright © 2005 John Wiley & Sons, Ltd.
Databáze:	OpenAIRE
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