1. 2026
  2. Applying canonical transformations to the nonlinear Schrödinger equation for modeling fiber optic communications

    Дремов, С. В., Качулин, Д. И., Чеховской, И. С., Сидельников, О. С., Редюк, А. А. & Дьяченко, А. И., Feb 2026, In: Physica D: Nonlinear Phenomena. 486, 10 p., 135049.

    Research output: Contribution to journalArticlepeer-review

  3. 2025
  4. Стенд для имитации взвешивания автотранспорта в движении

    Редюк, А. А. & Иванов, С. Ю., 24 Dec 2025, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 240109, 3 Oct 2025, Priority date 3 Oct 2025, Priority No. 2025127106

    Research output: PatentPatent for utility model

  5. Transfer Learning for Transformer-Based Modeling of Nonlinear Pulse Evolution in Er-Doped Fiber Amplifiers

    Bednyakova, A. E., Gemuzov, A. S., Mishevsky, M. S., Saraeva, K. P., Redyuk, A. A., Mkrtchyan, A. A., Nasibulin, A. G. & Gladush, Y. G., 12 Dec 2025, In: Laser and Photonics Reviews. 14 p., e02014.

    Research output: Contribution to journalArticlepeer-review

  6. Learned perturbation-based digital backpropagation with low complexity for nonlinearity compensation

    Редюк, А. А., Шевелев, Е. И., Данилко, В. Р., Bazarov, T., Senko, M., Samodelkin, L., Nanii, O., Treshchikov, V. & Федорук, М. П., 5 Dec 2025, In: OSA Continuum. 4, 12, p. 2896-2913 18 p.

    Research output: Contribution to journalArticlepeer-review

  7. Распределенный оптоволоконный сенсор для взвешивания транспортных средств в движении

    Редюк, А. А. & Иванов, С. Ю., 2 Dec 2025, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 239393, 27 Aug 2025, Priority date 27 Aug 2025, Priority No. 2025123637

    Research output: PatentPatent for utility model

  8. Efficient Nonlinear Distortion Compensation Algorithms Using Machine Learning for Telecommunication Systems

    Redyuk, A. A., Shevelev, E. I., Sidelnikov, O. S., Danilko, V. R., Bazarov, T. O., Senko, M. A., Samodelkin, L. A., Nanii, O. E., Treshchikov, V. N. & Fedoruk, M. P., Dec 2025, In: Bulletin of the Lebedev Physics Institute. 52, Suppl 11, p. S1172-S1187 16 p., 8.

    Research output: Contribution to journalArticlepeer-review

  9. Оптические спектры поглощения социально-значимых газов городского воздуха

    Бойко, А. А., Костюкова, Н. Ю., Ерушин, Е. Ю. & Редюк, А. А., 26 Nov 2025, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2025625498, 1 Nov 2025, Priority date 1 Nov 2025, Priority No. 2025624791

    Research output: PatentDatabase registration

  10. Intelligent Feature Extraction and Event Classification in Distributed Acoustic Sensing Using Wavelet Packet Decomposition

    Kozmin, A., Borozdin, P., Chernenko, A., Gostilovich, S., Kalashev, O. & Redyuk, A., 11 Nov 2025, In: Technologies. 13, 11, 21 p., 514.

    Research output: Contribution to journalArticlepeer-review

  11. Программа для компенсации нелинейных искажений сигнала в волоконно-оптических линиях связи методами теории возмущений «PBM-1»

    Шевелев, Е. И., Данилко, В. Р. & Редюк, А. А., 18 Jun 2025, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2025665645, 27 May 2025, Priority date 27 May 2025, Priority No. 2025663321

    Research output: PatentSoftware registration

  12. Semi-Supervised Learned Autoencoder for Classification of Events in Distributed Fibre Acoustic Sensors

    Козьмин, А. Д., Калашев, О. Е., Chernenko, A. & Редюк, А. А., 14 Jun 2025, In: Sensors. 25, 12, 22 p., 3730.

    Research output: Contribution to journalArticlepeer-review

  13. Программа для прогнозирования резонансной частоты оптикоакустического детектора с учетом температуры газовой смеси «OAD_ResFreqPred»

    Редюк, А. А., Козьмин, А. Д. & Бороздин, П. А., 30 Apr 2025, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2025661126, 16 Apr 2025, Priority date 16 Apr 2025, Priority No. 2025619062

    Research output: PatentSoftware registration

  14. Compensation of nonlinear signal distortions in optical fiber communication systems

    Redyuk, A., Sidelnikov, O. & Fedoruk, M., Apr 2025, In: Optics Communications. 578, 131418.

    Research output: Contribution to journalArticlepeer-review

  15. Резонансный дифференциальный оптико-акустический детектор

    Редюк, А. А., Бойко, А. А., Костюкова, Н. Ю., Ерушин, Е. Ю. & Козьмин, А. Д., 25 Feb 2025, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 232122, 4 Oct 2024, Priority date 4 Oct 2024, Priority No. 2024129927

    Research output: PatentPatent for utility model

  16. Dispersive delay line based on a microcylinder

    Aprelov, N. A., Kolesnikova, A. Y., Makarova, N. A., Redyuk, A. A. & Vatnik, I. D., 2025, In: Optics Letters. 50, 10, p. 3301-3304 4 p.

    Research output: Contribution to journalArticlepeer-review

  17. 2024
  18. Оптоволоконный сенсор на брэгговских решетках для взвешивания транспортных средств в движении

    Редюк, А. А. & Иванов, С. Ю., 23 Dec 2024, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 230853, 2 Nov 2024, Priority date 2 Nov 2024, Priority No. 2024133010

    Research output: PatentPatent for utility model

  19. Temperature-Based Long-Term Stabilization of Photoacoustic Gas Sensors Using Machine Learning

    Borozdin, P., Erushin, E., Kozmin, A., Bednyakova, A., Miroshnichenko, I., Kostyukova, N., Boyko, A. & Redyuk, A., Dec 2024, In: Sensors. 24, 23, 7518.

    Research output: Contribution to journalArticlepeer-review

  20. Compensation for Nonlinear Distortions in Optical Communication Systems Using Perturbation Theory and Multiparameter Optimization

    Redyuk, A. A., Shevelev, E. I., Danilko, V. R. & Fedoruk, M. P., Nov 2024, In: Bulletin of the Lebedev Physics Institute. 51, Suppl 6, p. S449-S457 9 p.

    Research output: Contribution to journalArticlepeer-review

  21. Wavelet-Based Machine Learning Algorithms for Photoacoustic Gas Sensing

    Kozmin, A., Erushin, E., Miroshnichenko, I., Kostyukova, N., Boyko, A. & Redyuk, A., Jun 2024, In: Optics. 5, 2, p. 207-222 16 p.

    Research output: Contribution to journalArticlepeer-review

  22. Machine Learning Methods for Compensating Signal Distortions in Fiber-Optic Communication Lines

    Sidelnikov, O. S., Redyuk, A. A. & Fedoruk, M. P., Feb 2024, In: Optoelectronics, Instrumentation and Data Processing. 60, 1, p. 1-10 10 p.

    Research output: Contribution to journalArticlepeer-review

  23. ML-Assisted Particle Swarm Optimization of a Perturbation-Based Model for Nonlinearity Compensation in Optical Transmission Systems

    Redyuk, A., Shevelev, E., Danilko, V. & Fedoruk, M., 1 Jan 2024, In: Journal of Lightwave Technology. p. 1-8

    Research output: Contribution to journalArticlepeer-review

  24. Dispersive Fourier Transform Spectrometer Based on Mode-Locked Er-Doped Fiber Laser for Ammonia Sensing

    Апрелов, Н. А., Ватник, И. Д., Харенко, Д. С. & Редюк, А. А., Jan 2024, In: Photonics. 11, 1, 45.

    Research output: Contribution to journalArticlepeer-review

  25. Interpretation models for data of metal-oxide gas sensors based on machine learning methods

    Kozmin, A. D. & Redyuk, A. A., 2024, In: Journal of Computational Technologies. 29, 4, p. 4-23 20 p.

    Research output: Contribution to journalArticlepeer-review

  26. 2023
  27. Enhancing long-term stability of photoacoustic gas sensor using an extremum-seeking control algorithm

    Bednyakova, A., Erushin, E., Miroshnichenko, I., Kostyukova, N., Boyko, A. & Redyuk, A., Sept 2023, In: Infrared Physics and Technology. 133, 6 p., 104821.

    Research output: Contribution to journalArticlepeer-review

  28. Scheme of Signal Processing in a Multimode Communication Receiver Based on Convolutional Neural Networks

    Sidelnikov, O. S., Redyuk, A. A. & Fedoruk, M. P., Sept 2023, In: Bulletin of the Lebedev Physics Institute. 50, p. S336-S342 7 p.

    Research output: Contribution to journalArticlepeer-review

  29. 2022
  30. 2021
  31. Application of complex fully connected neural networks to compensate for nonlinearity in fibre-optic communication lines with polarisation division multiplexing

    Bogdanov, S. A., Sidelnikov, O. S. & Redyuk, A. A., Dec 2021, In: Quantum Electronics. 51, 12, p. 1076-1080 5 p., 5.

    Research output: Contribution to journalArticlepeer-review

  32. Interchannel nonlinearity compensation using a perturbative machine learning technique

    Kozulin, I. A. & Redyuk, A. A., 15 Aug 2021, In: Optics Communications. 493, 127026.

    Research output: Contribution to journalArticlepeer-review

  33. Convolutional Neural Networks with Multiple Layers per Span for Nonlinearity Mitigation in Long-Haul WDM Transmission Systems

    Sidelnikov, O., Redyuk, A., Sygletos, S., Fedoruk, M. & 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. Paper CI-P.6. (2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference, CLEO/Europe-EQEC 2021).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  34. Advanced Convolutional Neural Networks for Nonlinearity Mitigation in Long-Haul WDM Transmission Systems

    Sidelnikov, O., Redyuk, A., Sygletos, S., Fedoruk, M. & Turitsyn, S. K., 15 Apr 2021, In: Journal of Lightwave Technology. 39, 8, p. 2397-2406 10 p., 9324921.

    Research output: Contribution to journalArticlepeer-review

  35. Convolutional neural networks with multiple layers per span for nonlinearity mitigation in long-haul WDM transmission systems

    Sidelnikov, O., Redyuk, A., Sygletos, S., Fedoruk, M. & Turitsyn, S., 2021, The European Conference on Lasers and Electro-Optics, CLEO/Europe 2021. The Optical Society, ci_p_6. (Optics InfoBase Conference Papers).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  36. 2020
  37. Statistical occurrence of soliton content in the conventional optical WDM signals

    Sedov, E. V., Redyuk, A. A., Fedoruk, M. P. & Turitsyn, S. K., 2 Nov 2020, Proceedings - International Conference Laser Optics 2020, ICLO 2020. Institute of Electrical and Electronics Engineers Inc., 9285623. (Proceedings - International Conference Laser Optics 2020, ICLO 2020).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  38. Soliton-sinc optical pulses

    Turitsyn, S. K., Bogdanov, S. & Redyuk, A., 1 Oct 2020, In: Optics Letters. 45, 19, p. 5352-5355 4 p.

    Research output: Contribution to journalArticlepeer-review

  39. Программный модуль обучения полносвязных нейронных сетей для компенсации нелинейных искажений в волоконно-оптических линиях связи «NLENN-1»

    Сидельников, О. С., Редюк, А. А. & Федорук, М. П., 8 Jul 2020, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2020617592, Priority date 11 Jun 2020, Priority No. 2020616027

    Research output: PatentSoftware registration

  40. Compensation of Nonlinear Impairments Using Inverse Perturbation Theory with Reduced Complexity

    Redyuk, A., Averyanov, E., Sidelnikov, O., Fedoruk, M. & Turitsyn, S., 15 Mar 2020, In: Journal of Lightwave Technology. 38, 6, p. 1250-1257 8 p., 8984221.

    Research output: Contribution to journalArticlepeer-review

  41. Nonlinear Spectrum of Conventional OFDM and WDM Return-to-Zero Signals in Nonlinear Channel

    Турицын, С. К., Седов, Е. В., Редюк, А. А. & Федорук, М. П., 15 Jan 2020, In: Journal of Lightwave Technology. 38, 2, p. 352-358 7 p., 8915744.

    Research output: Contribution to journalArticlepeer-review

  42. 2019
  43. Methods for compensation of nonlinear effects in multichannel data transfer systems based on dynamic neural networks

    Sidelnikov, O. S., Redyuk, A. A., Sygletos, S. & Fedoruk, M. P., 11 Oct 2019, In: Quantum Electronics. 49, 12, p. 1154-1157 4 p.

    Research output: Contribution to journalArticlepeer-review

  44. Nonlinearity compensation techniques using machine learning

    Sygletos, S., Redyuk, A. & Sidelnikov, O., 1 Jan 2019, Signal Processing in Photonic Communications, SPPCom 2019. OSA Publishing, (Optics InfoBase Conference Papers; vol. Part F137-SPPCom 2019).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  45. Содержание солитонов в стандартных оптических OFDM сигналах

    Седов, Е. В., Редюк, А. А., Федорук, М. П. & Турицын, С. К., 2019, In: ФОТОН-ЭКСПРЕСС. 6 (158), p. 110 1 p.

    Research output: Contribution to journalArticlepeer-review

  46. 2018
  47. Soliton content in the standard optical OFDM signal

    Sedov, E. V., Redyuk, A. A., Fedoruk, M. P., Gelash, A. A., Frumin, L. L. & Turitsyn, S. K., 15 Dec 2018, In: Optics Letters. 43, 24, p. 5985-5988 4 p.

    Research output: Contribution to journalArticlepeer-review

  48. Equalization performance and complexity analysis of dynamic deep neural networks in long haul transmission systems

    Sidelnikov, O., Redyuk, A. & Sygletos, S., 10 Dec 2018, In: Optics Express. 26, 25, p. 32765-32776 12 p.

    Research output: Contribution to journalArticlepeer-review

  49. Identifying Extreme PAPR in Coherent Optical Communications

    Derevyanko, S. A., Redyuk, A., Vergeles, S. & Turitsyn, S., 14 Nov 2018, 2018 European Conference on Optical Communication, ECOC 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-September. 8535373. (European Conference on Optical Communication, ECOC; vol. 2018-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

  50. Nonlinear Equalization in Long Haul Transmission Systems Using Dynamic Multi-Layer Perceptron Networks

    Sidelnikov, O., Redyuk, A. & Sygletos, S., 14 Nov 2018, 2018 European Conference on Optical Communication, ECOC 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-September. 8535144. (European Conference on Optical Communication, ECOC; vol. 2018-September).

    Research output: Chapter in Book/Report/Conference proceedingConference contributionResearchpeer-review

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