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Wavelet orthogonal signal correction
Author(s) -
Feudale Robert N.,
Liu Yang,
Woody Nathaniel A.,
Tan Huwei,
Brown Steven D.
Publication year - 2005
Publication title -
journal of chemometrics
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.47
H-Index - 92
eISSN - 1099-128X
pISSN - 0886-9383
DOI - 10.1002/cem.907
Subject(s) - wavelet , prism , signal (programming language) , preprocessor , orthogonal wavelet , wavelet transform , computer science , algorithm , artificial intelligence , pattern recognition (psychology) , filter (signal processing) , wavelet packet decomposition , mathematics , optics , computer vision , physics , programming language
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.