𝔖 Bobbio Scriptorium
✦   LIBER   ✦

Wavelet orthogonal signal correction

✍ Scribed by Robert N. Feudale; Yang Liu; Nathaniel A. Woody; Huwei Tan; Steven D. Brown


Book ID
101828825
Publisher
John Wiley and Sons
Year
2005
Tongue
English
Weight
177 KB
Volume
19
Category
Article
ISSN
0886-9383

No coin nor oath required. For personal study only.

✦ Synopsis


Abstract

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 Β© 2005 John Wiley & Sons, Ltd.


πŸ“œ SIMILAR VOLUMES


On orthogonal signal correction
✍ Tom Fearn πŸ“‚ Article πŸ“… 2000 πŸ› Elsevier Science 🌐 English βš– 256 KB
Orthogonal signal correction of near-inf
✍ Svante Wold; Henrik Antti; Fredrik Lindgren; Jerker Γ–hman πŸ“‚ Article πŸ“… 1998 πŸ› Elsevier Science 🌐 English βš– 172 KB

Near-infrared NIR spectra are often pre-processed in order to remove systematic noise such as base-line variation and multiplicative scatter effects. This is done by differentiating the spectra to first or second derivatives, by multiplicative signal Ε½ . correction MSC , or by similar mathematical f