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

ASJC Scopus subject areas

  • Physics and Astronomy(all)

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