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Sidelnikov, Oleg Sergeevich

Statistics Math-Net.Ru
Total publications: 11
Scientific articles: 11

Number of views:
This page:231
Abstract pages:2496
Full texts:636
References:333
Candidate of physico-mathematical sciences
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https://www.mathnet.ru/eng/person115947
List of publications on Google Scholar
List of publications on ZentralBlatt

Publications in Math-Net.Ru Citations
2022
1. O. S. Sidelnikov, A. A. Redyuk, M. P. Fedoruk, “Scheme of signal processing in a receiver of multimode communication lines based on convolutional neural networks”, Kvantovaya Elektronika, 52:11 (2022),  1018–1022  mathnet [Bull. Lebedev Physics Institute, 50:suppl. 3 (2023), S336–S342] 1
2021
2. S. A. Bogdanov, O. S. Sidelnikov, A. A. Redyuk, “Application of complex fully connected neural networks to compensate for nonlinearity in fibre-optic communication lines with polarisation division multiplexing”, Kvantovaya Elektronika, 51:12 (2021),  1076–1080  mathnet [Quantum Electron., 51:12 (2021), 1076–1080  isi  scopus] 2
3. S. A. Bogdanov, O. S. Sidelnikov, “Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines”, Kvantovaya Elektronika, 51:5 (2021),  459–462  mathnet  elib [Quantum Electron., 51:5 (2021), 459–462  isi  scopus] 9
2020
4. O. S. Sidelnikov, E. V. Podivilov, S. A. Babin, S. Wabnitz, M. P. Fedoruk, “Numerical simulation of the beam self-cleaning process in a multimode graded-index fibre during propagation of a pump wave and a Stokes component”, Kvantovaya Elektronika, 50:12 (2020),  1101–1104  mathnet  elib [Quantum Electron., 50:12 (2020), 1101–1104  isi  scopus]
2019
5. O. S. Sidelnikov, A. A. Redyuk, S. Sygletos, M. P. Fedoruk, “Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks”, Kvantovaya Elektronika, 49:12 (2019),  1154–1157  mathnet  elib [Quantum Electron., 49:12 (2019), 1154–1157  isi  scopus] 7
2018
6. A. S. Skidin, O. S. Sidelnikov, M. P. Fedoruk, “Application of combined optical signal processing methods to compensate for nonlinear effects in fibre-optic communication links”, Kvantovaya Elektronika, 48:12 (2018),  1160–1163  mathnet  elib [Quantum Electron., 48:12 (2018), 1160–1163  isi  scopus] 1
2017
7. O. S. Sidelnikov, A. A. Redyuk, S. Sygletos, “Dynamic neural network-based methods for compensation of nonlinear effects in multimode communication lines”, Kvantovaya Elektronika, 47:12 (2017),  1147–1149  mathnet  elib [Quantum Electron., 47:12 (2017), 1147–1149  isi  scopus] 8
8. O. S. Sidelnikov, A. S. Skidin, M. P. Fedoruk, “Investigation of nonlinear effects in the transmission of a QAM signal in fibre optic communication lines using different carrier pulses”, Kvantovaya Elektronika, 47:12 (2017),  1140–1143  mathnet  elib [Quantum Electron., 47:12 (2017), 1140–1143  isi  scopus] 2
9. O. S. Sidelnikov, A. A. Redyuk, “Nonlinear effects in optical signal transmission using a multimode fibre with weak coupling”, Kvantovaya Elektronika, 47:4 (2017),  330–334  mathnet  elib [Quantum Electron., 47:4 (2017), 330–334  isi  scopus]
2016
10. A. S. Skidin, O. S. Sidelnikov, M. P. Fedoruk, “Compensation for nonlinear effects in an optical orthogonal frequency-division multiplexed signal using adaptive modulation”, Kvantovaya Elektronika, 46:12 (2016),  1113–1116  mathnet  elib [Quantum Electron., 46:12 (2016), 1113–1116  isi  scopus] 2
11. O. S. Sidelnikov, S. Sygletos, F. Ferreira, M. P. Fedoruk, “Numerical modelling of multimode fibre-optic communication lines”, Kvantovaya Elektronika, 46:1 (2016),  76–80  mathnet  elib [Quantum Electron., 46:1 (2016), 76–80  isi  scopus] 1

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