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Article Dans Une Revue Optics Letters Année : 2019

Compressed Raman classification method with upper-bounded error probability

Emmanuel Chevallier
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Frédéric Galland

Résumé

Classification of different species with Raman measurements is analyzed when a total of exactly N photons are detected with binary filtered Raman spectra instead of fixing the measuring time. The optimal classification method for this problem leads to classification error probabilities upper bounded by the Bhattacharyya bound and that are invariant to the multiplication of the spectrum intensities by an unknown factor. Furthermore, it is shown that this approach can be implemented with a number of binary filters smaller than the number of species to discriminate.
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Commentaire : © 2019 Optical Society of America. One print or electronic copy may be made for personal use only. Systematic reproduction and distribution, duplication of any material in this paper for a fee or for commercial purposes, or modifications of the content of this paper are prohibited.

Dates et versions

hal-02394203 , version 1 (06-01-2021)

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Citer

Philippe Réfrégier, Emmanuel Chevallier, Frédéric Galland. Compressed Raman classification method with upper-bounded error probability. Optics Letters, 2019, 44 (23), pp.5836. ⟨10.1364/OL.44.005836⟩. ⟨hal-02394203⟩
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