1 - 49 out of 49Page size: 100
  1. 2025

  2. 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 journal › Article › peer-review

  3. 2024

  4. 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: Patent › Patent for utility model

  5. 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 journal › Article › peer-review

  6. 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 journal › Article › peer-review

  7. 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 journal › Article › peer-review

  8. 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 journal › Article › peer-review

  9. 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 journal › Article › peer-review

  10. 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 journal › Article › peer-review

  11. 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 journal › Article › peer-review

  12. Компенсация нелинейных искажений в системах оптической связи методами теории возмущений и многопараметрической оптимизации

    Редюк, А. А., Шевелев, Е. И., Данилко, В. Р. & Федорук, М. П., 2024, In: Квантовая электроника. 54, 3, p. 151-156 6 p., 4.

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

  13. 2023

  14. 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 journal › Article › peer-review

  15. 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 journal › Article › peer-review

  16. 2022

  17. Схема обработки сигналов в приемнике многомодовых линий связи на основе сверточных нейронных сетей

    Сидельников, О. С., Редюк, А. А. & Федорук, М. П., 18 Oct 2022, p. 145-146. 2 p.

    Research output: Contribution to conference › Abstract › peer-review

  18. Применение методов машинного обучения для калибровки газового датчика

    Козьмин, А. Д. & Редюк, А. А., 2022, p. 54. 1 p.

    Research output: Contribution to conference › Abstract › peer-review

  19. Схема обработки сигналов в приемнике многомодовых линий связи на основе сверточных нейронных сетей

    Сидельников, О. С., Редюк, А. А. & Федорук, М. П., 2022, In: Квантовая электроника. 52, 11, p. 1018-1022 5 p., 10.

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

  20. 2021

  21. 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 journal › Article › peer-review

  22. 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 journal › Article › peer-review

  23. 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 proceeding › Conference contribution › Research › peer-review

  24. 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 journal › Article › peer-review

  25. 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 proceeding › Conference contribution › Research › peer-review

  26. Нелинейная фотоника: материалы V Международной школы молодых ученых 9-14 августа2021 года

    Редюк, А. А. (ed.) & Кохановский, А. Ю. (ed.), 2021, Новосибирск: ИПЦ НГУ. 52 p.

    Research output: Book/Report › Anthology › Research › peer-review

  27. 2020

  28. 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 proceeding › Conference contribution › Research › peer-review

  29. 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 journal › Article › peer-review

  30. 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: Patent › Software registration

  31. 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 journal › Article › peer-review

  32. 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 journal › Article › peer-review

  33. 2019

  34. 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 journal › Article › peer-review

  35. 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 proceeding › Conference contribution › Research › peer-review

  36. Компенсация нелинейных искажений сигнала с пониженной вычислительной сложностью на основе теории возмущений

    Аверьянов, Е. А., Редюк, А. А., Сидельников, О. С. & Федорук, М. П., 2019, In: ФОТОН-ЭКСПРЕСС. 6 (158), p. 106-107 2 p.

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

  37. Методы компенсации нелинейных эффектов в многоканальных системах передачи данных на основе динамических нейронных сетей

    Сидельников, О. С., Редюк, А. А., Стилианос, С. & Федорук, М. П., 2019, In: ФОТОН-ЭКСПРЕСС. 6 (158), p. 104-105 2 p.

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

  38. Методы компенсации нелинейных эффектов в многоканальных системах передачи данных на основе динамических нейронных сетей

    Сидельников, О. С., Редюк, А. А., Стилианос, С. & Федорук, М. П., 2019, In: Квантовая электроника. 49, 12, p. 1154-1157 4 p.

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

  39. Применение методов машинного обучения на основе решающих деревьев для компенсации нелинейных искажений в волоконно-оптических линиях связи

    Ракитский, А. А. & Редюк, А. А., 2019, In: ФОТОН-ЭКСПРЕСС. 6 (158), p. 116-117 2 p.

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

  40. 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 journal › Article › peer-review

  41. 2018

  42. 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 journal › Article › peer-review

  43. 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 journal › Article › peer-review

  44. 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

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

  45. 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

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

  46. 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

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

  47. 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 journal › Article › peer-review

  48. 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.

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

  49. 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/Report › Book › Research › peer-review

  50. 2017

  51. 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, 2017 Optical Fiber Communications Conference and Exhibition, OFC 2017 - Proceedings. Institute of Electrical and Electronics Engineers Inc., Vol. Part F40-OFC 2017. 7937358

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

  52. 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: Patent › Software registration

  53. 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 journal › Article › peer-review

  54. 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 journal › Article › peer-review

  55. 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 journal › Article › peer-review

  56. 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 proceeding › Conference contribution › Research › peer-review

  57. 2015

  58. 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: Patent › Software registration

  59. 2012

  60. 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: Patent › Software registration

ID: 3454510