Statistical approach to the analysis of the composition of multicomponent gas mixtures using absorption laser spectroscopy

Yury V. Kistenev, Alexey V. Borisov, Aleksandr Vasilievich Shapovalov

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The possibility of the inverse spectroscopic problem solution for multicomponent gas mixtures based on the use of principal component analysis is discussed. The analysis revealed usefulness of principal component analysis to estimate the parameters of the components in a case of investigation of exhaled air samples from various groups of patients.

Original languageEnglish
Title of host publication21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
PublisherSPIE
Volume9680
ISBN (Electronic)9781628419085
DOIs
Publication statusPublished - 2015
Externally publishedYes
Event21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics - Tomsk, Russian Federation
Duration: 22 Jun 201526 Jun 2015

Conference

Conference21st International Symposium on Atmospheric and Ocean Optics: Atmospheric Physics
CountryRussian Federation
CityTomsk
Period22.6.1526.6.15

Keywords

  • exhaled air
  • multicomponent gas mixtures
  • principal component analysis

ASJC Scopus subject areas

  • Applied Mathematics
  • Computer Science Applications
  • Electrical and Electronic Engineering
  • Electronic, Optical and Magnetic Materials
  • Condensed Matter Physics

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