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Updated: May 29, 2026

Infrared Degenerate Four-wave Mixing with Upconversion Detection for Quantitative Gas Sensing
Published on: March 22, 2019
Minimum description length approach for unsupervised spectral unmixing of multiple interfering gas species
Julien Fade1, Sidonie Lefebvre, Nicolas Cézard
1French Aerospace Lab (ONERA), Chemin de la Huni`ere, 91 761 Palaiseau, France. julien.fade@univ-rennes1.fr
Abstract:
We address an original statistical method for unsupervised identification and concentration estimation of spectrally interfering gas components of unknown nature and number. We show that such spectral unmixing can be efficiently achieved using information criteria derived from the Minimum Description Length (MDL) principle, outperforming standard information criteria such as AICc or BIC. In the context of spectroscopic applications, we also show that the most efficient MDL technique implemented shows good robustness to experimental artifacts.
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