| Soliton-sinc optical pulses SK Turitsyn, S Bogdanov, A Redyuk Optics Letters 45 (19), 5352-5355, 2020 | 13 | 2020 |
| Use of complex fully connected neural networks to compensate for nonlinear effects in fibre-optic communication lines SA Bogdanov, OS Sidelnikov Quantum Electronics 51 (5), 459, 2021 | 8 | 2021 |
| Phase computation for the finite-genus solutions to the focusing nonlinear Schrödinger equation using convolutional neural networks S Bogdanov, D Shepelsky, A Vasylchenkova, E Sedov, PJ Freire, ... Communications in Nonlinear Science and Numerical Simulation 125, 107311, 2023 | 6 | 2023 |
| Application of complex fully connected neural networks to compensate for nonlinearity in fibre-optic communication lines with polarisation division multiplexing SA Bogdanov, OS Sidelnikov, AA Redyuk Quantum Electronics 51 (12), 1076, 2021 | 2 | 2021 |
| Soliton orthogonal frequency division multiplexing with phase–frequency coding on the base of inverse scattering transform SA Bogdanov, LL Frumin Journal of Inverse and Ill-posed Problems 29 (4), 629-634, 2021 | 2 | 2021 |
| Periodic finite-band solutions to the focusing nonlinear Schrödinger equation by the Fokas method: inverse and direct problems D Shepelsky, I Karpenko, S Bogdanov, JE Prilepsky Proceedings of the Royal Society A 480 (2286), 20230828, 2024 | 1 | 2024 |
| Fiber-optic communications based on finite-genus solutions to the NLS with a convolutional neural network receiver S Bogdanov, JE Prilepsky, D Shepelsky, M Kamalian-Kopae, ... 49th European Conference on Optical Communications (ECOC 2023) 2023, 467-470, 2023 | 1 | 2023 |
| Finite-Genus Solutions-based Optical Communication with the Riemann-Hilbert Problem Transmitter and a Convolutional Neural Network Receiver S Bogdanov, D Shepelsky, M Kamalian-Kopae, A Vasylchenkova, ... Journal of Lightwave Technology, 2024 | | 2024 |
| Periodic finite-band solutions to the focusing nonlinear Schr\"{o} dinger equation by the Riemann--Hilbert approach: inverse and direct problems D Shepelsky, I Karpenvko, S Bogdanov, JE Prilepsky arXiv preprint arXiv:2311.16902, 2023 | | 2023 |
| Complex Fully Connected Neural Networks for Nonlinearity Compensation in Long-Haul Transmission Systems S Bogdanov, O Sidelnikov The European Conference on Lasers and Electro-Optics, ci_p_7, 2021 | | 2021 |
| Fully connected feed-forward neural network based nonlinearity compensation method for polarization multiplexed transmission systems SA Bogdanov, OS Sidelnikov, MP Fedoruk, SK Turitsyn 2020 International Conference Laser Optics (ICLO), 1-1, 2020 | | 2020 |
Egor SedovPhD student, Aston Institute of Photonic Technologies在 aston.ac.uk 的电子邮件经过验证
Egor SedovPhD student, Aston Institute of Photonic Technologies在 aston.ac.uk 的电子邮件经过验证
Morteza Kamalian-KopaeMicrosoft在 microsoft.com 的电子邮件经过验证