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