Peak-hopping stepwise wavelength selection algorithm Conference Paper

abstract

• Wavelength selection is an important preprocessing step for improving and simplifying calibrations in both quantitative and qualitative problems. An improved variable selection algorithm has been developed to improve upon existing methods in terms of speed and prediction error. The new technique uses a novel peak-hopping strategy to move quickly between important spectral regions. Results when applied to both Raman and near-infrared data show that the algorithm is very fast, decreases prediction errors, and chooses a small subset of the full spectral range available. A comparison with other techniques is given and the respective advantages and disadvantages are discussed.

name of conference

• Optical Diagnostics of Biological Fluids IV

authors

• Cote, Gerard
• McShane, Michael

published proceedings

• OPTICAL DIAGNOSTICS OF BIOLOGICAL FLUIDS IV, PROCEEDINGS OF

author list (cited authors)

• McShane, M. J., Cameron, B. D., Cot, G. L., & Spiegelman, C. H.

citation count

• 4

complete list of authors

• McShane, MJ||Cameron, BD||Coté, GL||Spiegelman, CH

editor list (cited editors)

• Priezzhev, A. V., & Asakura, T.

publication date

• May 1999

publisher

• SPIE, the international society for optics and photonics  Publisher

published in

• Proceedings of SPIE  Journal

keywords

• Chemometrics
• Multivariate Calibration
• Optimization
• Partial Least-squares
• Wavelength Selection

Digital Object Identifier (DOI)

• 10.1117/12.348372

International Standard Book Number (ISBN) 10

• 0-8194-3069-2

start page

• 101

end page

• 109

volume

• 3599

URL

• http://dx.doi.org/10.1117/12.348372