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Fedor L. Barkov

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Articles

Algorithms | Free Full-Text | An Image Processing-Based Correlation Method for Improving the Characteristics of Brillouin Frequency Shift Extraction in Distributed Fiber Optic Sensors

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By Yuri A. Konstantinov, Anton I. Krivosheev, Fedor L. Barkov
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Computation | Free Full-Text | Methods for Detecting the Patient’s Pupils’ Coordinates and Head Rotation Angle for the Video Head Impulse Test (vHIT), Applicable for the Diagnosis of Vestibular Neuritis and Pre-Stroke Conditions

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By Fedor L. Barkov, G. D. Mamykin, A. A. Kulesh, Y. A. Konstantinov
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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Activation Function Dynamic Averaging as a Technique for Nonlinear 2D Data Denoising in Distributed Acoustic Sensors

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By Artëm T. Turov, Fedor L. Barkov, Yuri A. Konstantinov, Dmitry A. Korobko
| MDPI
4. Discussion The noise reduction algorithms studied herein and applied to DAS data processing have similar computational times. The use of any of them makes it possible to achieve output DAS data characteristics from the use of a simple and affordable homemade laser similar to those of the commercial laser source. This provides an opportunity to make distributed acoustic monitoring less expensive and, therefore, more accessible.
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