Deconvolution of Near-Infrared Spectra

This is the authors' abstract. We don't add key points for this paper.

Deconvolution is a mathematical technique for improving the resolution of spectra. Deconvolution can be done in either signal space or frequency space. Both methods were attempted after special adaptations of the algorithms were carried out in order to make them specific for the near-infrared (NIR) spectrum. Signal-space deconvolution works well when a line is subtracted from the spectrum before a modified Jansson's algorithm is applied. Frequency-space deconvolution requires the addition of a polynomial tail to the spectrum, the addition of a constant to the bandpass divisor, and a Gaussian apodization function.