Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air

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Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air	232 KB	Adobe Acrobat PDF	Read	Download
DOI Доступ к ресурсу на сайте издателя			10.1117/12.2249139

Title: Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air
Creator: Kistenev, Yury V.
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Vrazhnov, D. A.
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Nikolaev, V. V.
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Shapovalov, Alexander V.
Date: 2016
DOI: 10.1117/12.2249139
Description: We examined possibilities of the Kalman filter for reducing the noise effects in the analysis of absorption spectra of gas samples, in particular, for samples of the exhaled air. It has been shown that when comparing groups of patients with broncho-pulmonary diseases on the basis of the absorption spectra analysis of exhaled air samples the data preprocessing with the Kalman filtering can improve the classification sensitivity using a support vector kernel with mpl.

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collection(s): Физический факультет | Научное управление
Identifier: смотреть в электронном каталоге НБ ТГУ
Type: статьи в журналах
Source: Proceedings of SPIE. 2016. Vol. 10035 : 22nd International Symposium Atmospheric and Ocean Optics: Atmospheric Physics, 30 June–03 July 2016, Tomsk, Russian Federation. P.100350A-1-100350A-6
Language: eng

Created: 16-02-2017

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Научное управление Kalman filtering in the problem of noise reduction in the absorption spectra of exhaled air