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Simulation-Based Evaluation of Wavelet Coefficients for Robust Analysis of Near Infrared Spectra

Krause, Julius

Abstract (englisch):
Near infrared spectroscopy is a common method for analysis of food, soil and pharmaceutical products. New developments in sensor technology, like hyperspectral camera systems and mobile spectrometers, allow broad applications of spectroscopy with devices out of specialized laboratories. Wavelet coefficients are a promising approach for the detection and estimation of spectral absorption bands. The robustness of wavelet based features against typical measuring influences and calibration errors will be analyzed in the following by using simulations.

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Verlagsausgabe §
DOI: 10.5445/IR/1000097098
Veröffentlicht am 08.08.2019
Cover der Publikation
Zugehörige Institution(en) am KIT Institut für Anthropomatik (IFA)
Publikationstyp Proceedingsbeitrag
Publikationsjahr 2019
Sprache Englisch
Identifikator ISBN: 978-3-7315-0936-3
ISSN: 1863-6489
KITopen-ID: 1000097098
Erschienen in Proceedings of the 2018 Joint Workshop of Fraunhofer IOSB and Institute for Anthropomatics, Vision and Fusion Laboratory. Ed.: J. Beyerer, M. Taphanel
Verlag KIT Scientific Publishing
Seiten 89-99
Serie Karlsruher Schriften zur Anthropomatik / Lehrstuhl für Interaktive Echtzeitsysteme, Karlsruher Institut für Technologie ; Fraunhofer-Inst. für Optronik, Systemtechnik und Bildauswertung IOSB Karlsruhe ; 40
Bemerkung zur Veröffentlichung Technical Report IES-2018-08

Kurztitel lt. Inhaltsverzeichnis: Wavelet Coefficients as Features in Near Infrared Spectra
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