Электронная библиотека (репозиторий) Томского государственного университета
Skiba, V. E. | Prischepa, Vladimir V.

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Add   Gas mixtures IR absorption spectra decomposition using a deep neural network
Authors: Prischepa, Vladimir V. | Skiba, V. E. | Vrazhnov, Denis A. | Kistenev, Yury V.
Source: Journal of Quantitative Spectroscopy and Radiative Transfer. 2023. Vol. 301. P. 108521 (1-10)
Type: статьи в журналах
Date: 2023
Description: An approach to multicomponent gas mixtures IR absorption spectra decomposition using a deep neu- ral network was developed. The process of refinement and optimization of the absorption spectra data mo ... More
Add   Super-resolution reconstruction of noisy gas-mixture absorption spectra using deep learning
Authors: Kistenev, Yury V. | Skiba, V. E. | Prischepa, Vladimir V. | Vrazhnov, Denis A. | Borisov, Alexey V.
Source: Journal of Quantitative Spectroscopy and Radiative Transfer. 2022. Vol. 289. P. 108278 (1-18)
Type: статьи в журналах
Date: 2022
Description: The laser sources used in absorption spectroscopy of gas media are a compromise between spectral turn- ability and line width. For example, optical parametric oscillators have a very wide tuning range ... More
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