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  1. Application of neural networks to determine the discrete spectrum of the direct Zakharov - Shabat problem

    Sedov, E. V., Chekhovskoy, I. S., Prilepsky, J. E. & Fedoruk, M. P., Dec 2020, In: Quantum Electronics. 50, 12, p. 1105-1109 5 p.

    Research output: Contribution to journal › Article › peer-review

  2. Computing continuous nonlinear fourier spectrum of optical signal with artificial neural networks

    Sedov, E., Prilepsky, J., Chekhovskoy, I. & Turitsyn, S., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., 1 p. EJ-1.4. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021; vol. 2021-June).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  3. Computing continuous nonlinear fourier spectrum of optical signal with artificial neural networks

    Sedov, E., Prilepsky, J., Chekhovskoy, I. & Turitsyn, S., 2021, European Quantum Electronics Conference, EQEC 2021. The Optical Society, ej_1_4. (Optics InfoBase Conference Papers).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  4. Computing continuous nonlinear Fourier spectrum of optical signal with artificial neural networks

    Sedov, E., Prylepskiy, J., Chekhovskoy, I. & Turitsyn, S., 2021, Applications of Machine Learning 2021. Zelinski, M. E., Taha, T. M. & Howe, J. (eds.). The International Society for Optical Engineering, 118430J. (Proceedings of SPIE - The International Society for Optical Engineering; vol. 11843).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  5. Continuous dual-polarization signal processing using windowed Nonlinear Fourier Transform

    Chekhovskoy, I. S., Sedov, E. V., Patrin, G. A. & Shtyrina, O. V., 2024, 2024 International Conference Laser Optics, ICLO 2024 - Proceedings. Institute of Electrical and Electronics Engineers Inc., p. 307 (2024 International Conference Laser Optics, ICLO 2024 - Proceedings).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  6. Fast eigenvalue evaluation of the direct Zakharov-Shabat problem in telecommunication signals using adaptive phase jump tracking

    Chekhovskoy, I. S., Medvedev, S. B., Vaseva, I. A., Sedov, E. V. & Fedoruk, M. P., 2021, The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society, ci_p_2. (Optics InfoBase Conference Papers).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  7. Fast Eigenvalue Evaluation of the Direct Zakharov-Shabat Problem in Telecommunication Signals Using Adaptive Phase Jump Tracking

    Chekhovskoy, I. S., Medvedev, S. B., Vaseva, I. A., Sedov, E. V. & Fedoruk, M. P., Jun 2021, 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021. Institute of Electrical and Electronics Engineers Inc., Paper CI-P.2. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).

    Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › Research › peer-review

  8. Introducing phase jump tracking - a fast method for eigenvalue evaluation of the direct Zakharov-Shabat problem

    Chekhovskoy, I., Medvedev, S. B., Vaseva, I. A., Sedov, E. V. & Fedoruk, M. P., May 2021, In: Communications in Nonlinear Science and Numerical Simulation. 96, 105718.

    Research output: Contribution to journal › Article › peer-review

  9. Neural network for calculating direct and inverse nonlinear Fourier transform

    Sedov, E. V., Чеховской, И. С. & Prilepsky, J. E., Dec 2021, In: Quantum Electronics. 51, 12, p. 1118-1121 4 p.

    Research output: Contribution to journal › Article › peer-review

  10. Neural networks for computing and denoising the continuous nonlinear Fourier spectrum in focusing nonlinear Schrödinger equation

    Sedov, E. V., Freire, P. J., Seredin, V. V., Kolbasin, V. A., Kamalian-Kopae, M., Chekhovskoy, I. S., Turitsyn, S. K. & Prilepsky, J. E., Dec 2021, In: Scientific Reports. 11, 1, 22857.

    Research output: Contribution to journal › Article › peer-review

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