Wavelet orthogonal signal correction
β 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
- DOI
- 10.1002/cem.907
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β¦ Synopsis
Abstract
In this paper a novel signalβpreprocessing 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 nearβinfrared data sets. Copyright Β© 2005 John Wiley & Sons, Ltd.
π SIMILAR VOLUMES
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