Wavelet based de-noising of breath air absorption spectra profiles for improved classification by principal component analysis

Yu V. Kistenev, A. V. Shapovalov, A. V. Borisov, D. A. Vrazhnov, V. V. Nikolaev, O. Yu Nikiforova

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

1 Citation (Scopus)

Abstract

The comparison results of different mother wavelets used for de-noising of model and experimental data which were presented by profiles of absorption spectra of exhaled air are presented. The impact of wavelets de-noising on classification quality made by principal component analysis are also discussed.

Original languageEnglish
Title of host publicationNew Operational Technologies, NEWOT 2015: Proceedings of the 5th International Scientific Conference "New Operational Technologies"
PublisherAmerican Institute of Physics Inc.
Volume1688
ISBN (Electronic)9780735413351
DOIs
Publication statusPublished - 17 Nov 2015
Externally publishedYes
Event5th International Scientific Conference on New Operational Technologies, NEWOT 2015 - Tomsk, Russian Federation
Duration: 29 Sep 201530 Sep 2015

Conference

Conference5th International Scientific Conference on New Operational Technologies, NEWOT 2015
CountryRussian Federation
CityTomsk
Period29.9.1530.9.15

Fingerprint

principal components analysis
absorption spectra
air
profiles

ASJC Scopus subject areas

  • Physics and Astronomy(all)

Cite this

Kistenev, Y. V., Shapovalov, A. V., Borisov, A. V., Vrazhnov, D. A., Nikolaev, V. V., & Nikiforova, O. Y. (2015). Wavelet based de-noising of breath air absorption spectra profiles for improved classification by principal component analysis. In New Operational Technologies, NEWOT 2015: Proceedings of the 5th International Scientific Conference "New Operational Technologies" (Vol. 1688). [030010] American Institute of Physics Inc.. https://doi.org/10.1063/1.4936005

Wavelet based de-noising of breath air absorption spectra profiles for improved classification by principal component analysis. / Kistenev, Yu V.; Shapovalov, A. V.; Borisov, A. V.; Vrazhnov, D. A.; Nikolaev, V. V.; Nikiforova, O. Yu.

New Operational Technologies, NEWOT 2015: Proceedings of the 5th International Scientific Conference "New Operational Technologies". Vol. 1688 American Institute of Physics Inc., 2015. 030010.

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

Kistenev, YV, Shapovalov, AV, Borisov, AV, Vrazhnov, DA, Nikolaev, VV & Nikiforova, OY 2015, Wavelet based de-noising of breath air absorption spectra profiles for improved classification by principal component analysis. in New Operational Technologies, NEWOT 2015: Proceedings of the 5th International Scientific Conference "New Operational Technologies". vol. 1688, 030010, American Institute of Physics Inc., 5th International Scientific Conference on New Operational Technologies, NEWOT 2015, Tomsk, Russian Federation, 29.9.15. https://doi.org/10.1063/1.4936005
Kistenev YV, Shapovalov AV, Borisov AV, Vrazhnov DA, Nikolaev VV, Nikiforova OY. Wavelet based de-noising of breath air absorption spectra profiles for improved classification by principal component analysis. In New Operational Technologies, NEWOT 2015: Proceedings of the 5th International Scientific Conference "New Operational Technologies". Vol. 1688. American Institute of Physics Inc. 2015. 030010 https://doi.org/10.1063/1.4936005
Kistenev, Yu V. ; Shapovalov, A. V. ; Borisov, A. V. ; Vrazhnov, D. A. ; Nikolaev, V. V. ; Nikiforova, O. Yu. / Wavelet based de-noising of breath air absorption spectra profiles for improved classification by principal component analysis. New Operational Technologies, NEWOT 2015: Proceedings of the 5th International Scientific Conference "New Operational Technologies". Vol. 1688 American Institute of Physics Inc., 2015.
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