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. 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

  9. 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

  10. 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

  11. 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

  12. 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

  13. 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

  14. 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

  15. 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

  16. 2024
  17. 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

  18. 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

  19. 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

  20. 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

  21. 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

  22. 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

  23. 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

  24. 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

  25. 2023
  26. 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

  27. 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

  28. 2022
  29. 2021
  30. 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

  31. 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

  32. 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

  33. 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

  34. 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

  35. 2020
  36. 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

  37. 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

  38. 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

  39. 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

  40. 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

  41. 2019
  42. 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

  43. 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

  44. 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

  45. 2018
  46. 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

  47. 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

  48. 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

  49. 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

  50. Perturbative Machine Learning Technique for Nonlinear Impairments Compensation in WDM Systems

    Averyanov, E., Redyuk, A., Sidelnikov, O., Soroklna, M., Fedoruk, M. & Turitsyn, S., 14 Nov 2018, 2018 European Conference on Optical Communication, ECOC 2018. Institute of Electrical and Electronics Engineers Inc., Vol. 2018-September. 8535338. (European Conference on Optical Communication, ECOC; vol. 2018-September).

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

  51. Invited Article: Visualisation of extreme value events in optical communications

    Derevyanko, S., Redyuk, A., Vergeles, S. & Turitsyn, S., 1 Jun 2018, In: APL Photonics. 3, 6, 13 p., 060801.

    Research output: Contribution to journalArticlepeer-review

  52. Extreme power fluctuations in optical communications

    Derevyanko, S. A., Redyuk, A., Vergeles, S. & Turitsyn, S., 1 Jan 2018, Frontiers in Optics, FIO 2018. OSA Publishing, Vol. Part F114-FIO 2018. (Optics InfoBase Conference Papers; vol. Part F114-FIO 2018).

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

  53. Nonlinear Waves in Multimode Fibers

    Чеховской, И. С., Сидельников, О. С., Редюк, А. А., Штырина, О. В., Федорук, М. П., Турицын, С. К., Каблуков, С. И., Бабин, С. А. & Вабниц, С., 2018, Сингапур: Springer Singapore. 55 p.

    Research output: Book/ReportBookResearchpeer-review

  54. 2017
  55. Simple geometric approach for optimization of phase-sensitive fibre optic parametric amplifiers

    Redyuk, A., Bednyakova, A., Medvedev, S. B., Fedoruk, M. P. & Turitsyn, S. K., 31 May 2017, Optics InfoBase Conference Papers. Institute of Electrical and Electronics Engineers Inc., Vol. Part F40-OFC 2017. 7937358. (Optics InfoBase Conference Papers; vol. Part F40-OFC 2017).

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

  56. Программный комплекс «FOPOModel»

    Беднякова, А. Е., Редюк, А. А. & Федорук, М. П., 9 Feb 2017, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2017611781, Priority date 24 Oct 2016, Priority No. 2016661348

    Research output: PatentSoftware registration

  57. Simple geometric interpretation of signal evolution in phase-sensitive fibre optic parametric amplifier

    Redyuk, A. A., Bednyakova, A. E., Medvedev, S. B., Fedoruk, M. P. & Turitsyn, S. K., 9 Jan 2017, In: Optics Express. 25, 1, p. 223-231 9 p.

    Research output: Contribution to journalArticlepeer-review

  58. Dynamic neural network-based methods for compensation of nonlinear effects in multimode communication lines

    Sidelnikov, O. S., Redyuk, A. A. & Sygletos, S., 2017, In: Quantum Electronics. 47, 12, p. 1147-1149 3 p.

    Research output: Contribution to journalArticlepeer-review

  59. Nonlinear effects in optical signal transmission using a multimode fibre with weak coupling

    Sidelnikov, O. S. & Redyuk, A. A., 2017, In: Quantum Electronics. 47, 4, p. 330-334 5 p.

    Research output: Contribution to journalArticlepeer-review

  60. Support vector machine based nonlinear compensation for few mode fiber transmission systems

    Sidelnikov, O., Redyuk, A., Ferreira, F. & Sygletos, S., 2017, The European Conference on Lasers and Electro-Optics, CLEO_Europe 2017. OSA Publishing, Vol. Part F82-CLEO_Europe 2017.

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

  61. 2015
  62. Программный комплекс моделирования солитонных линий связи «PPMSol-1»

    Юшко, О. В., Редюк, А. А. & Федорук, М. П., 20 Feb 2015, Роспатент - Федеральная служба по интеллектуальной собственности, Patent No. 2015610486, Priority date 13 Nov 2014, Priority No. 2014661525

    Research output: PatentSoftware registration

  63. 2012
  64. Программный комплекс для моделирования волоконно-оптических линий связи "OLSim-1"

    Редюк, А. А., Штырина, О. В., Федорук, М. П. & Скидин, А. С., 25 Apr 2012, Patent No. 2012613880, Priority date 6 Mar 2012, Priority No. 2012611599

    Research output: PatentSoftware registration

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