Search Results - "Prilepsky, Jaroslaw E."

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  1. 1

    Capacity estimates for optical transmission based on the nonlinear Fourier transform by Derevyanko, Stanislav A., Prilepsky, Jaroslaw E., Turitsyn, Sergei K.

    Published in Nature communications (09-09-2016)
    “…What is the maximum rate at which information can be transmitted error-free in fibre–optic communication systems? For linear channels, this was established in…”
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  2. 2

    Neural Networks-Based Equalizers for Coherent Optical Transmission: Caveats and Pitfalls by Freire, Pedro J., Napoli, Antonio, Spinnler, Bernhard, Costa, Nelson, Turitsyn, Sergei K., Prilepsky, Jaroslaw E.

    “…This paper performs a detailed, multi-faceted analysis of key challenges and common design caveats related to the development of efficient neural networks (NN)…”
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  3. 3

    Analysis of laser radiation using the Nonlinear Fourier transform by Sugavanam, Srikanth, Kopae, Morteza Kamalian, Peng, Junsong, Prilepsky, Jaroslaw E., Turitsyn, Sergei K.

    Published in Nature communications (11-12-2019)
    “…Modern high-power lasers exhibit a rich diversity of nonlinear dynamics, often featuring nontrivial co-existence of linear dispersive waves and coherent…”
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  4. 4

    Nonlinear spectral management: linearization of the lossless fiber channel by Prilepsky, Jaroslaw E, Derevyanko, Stanislav A, Turitsyn, Sergei K

    Published in Optics express (07-10-2013)
    “…Using the integrable nonlinear Schrödinger equation (NLSE) as a channel model, we describe the application of nonlinear spectral management for effective…”
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  5. 5

    Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization by Ron, Diego Argüello, Freire, Pedro J., Prilepsky, Jaroslaw E., Kamalian-Kopae, Morteza, Napoli, Antonio, Turitsyn, Sergei K.

    Published in Scientific reports (24-05-2022)
    “…The deployment of artificial neural networks-based optical channel equalizers on edge-computing devices is critically important for the next generation of…”
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  6. 6

    Author Correction: Analysis of laser radiation using the Nonlinear Fourier transform by Sugavanam, Srikanth, Kopae, Morteza Kamalian, Peng, Junsong, Prilepsky, Jaroslaw E., Turitsyn, Sergei K.

    Published in Nature communications (02-10-2020)
    “…An amendment to this paper has been published and can be accessed via a link at the top of the paper…”
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  7. 7

    Neural networks for computing and denoising the continuous nonlinear Fourier spectrum in focusing nonlinear Schrödinger equation by Sedov, Egor V., Freire, Pedro J., Seredin, Vladimir V., Kolbasin, Vladyslav A., Kamalian-Kopae, Morteza, Chekhovskoy, Igor S., Turitsyn, Sergei K., Prilepsky, Jaroslaw E.

    Published in Scientific reports (24-11-2021)
    “…We combine the nonlinear Fourier transform (NFT) signal processing with machine learning methods for solving the direct spectral problem associated with the…”
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  8. 8

    Nonlinear inverse synthesis for high spectral efficiency transmission in optical fibers by Le, Son Thai, Prilepsky, Jaroslaw E, Turitsyn, Sergei K

    Published in Optics express (03-11-2014)
    “…In linear communication channels, spectral components (modes) defined by the Fourier transform of the signal propagate without interactions with each other. In…”
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  9. 9

    Performance Versus Complexity Study of Neural Network Equalizers in Coherent Optical Systems by Freire, Pedro J., Osadchuk, Yevhenii, Spinnler, Bernhard, Napoli, Antonio, Schairer, Wolfgang, Costa, Nelson, Prilepsky, Jaroslaw E., Turitsyn, Sergei K.

    Published in Journal of lightwave technology (01-10-2021)
    “…We present the results of the comparative performance-versus-complexity analysis for the several types of artificial neural networks (NNs) used for nonlinear…”
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  10. 10

    Channel model and the achievable information rates of the optical nonlinear frequency division-multiplexed systems employing continuous b-modulation by Derevyanko, Stanislav, Balogun, Muyiwa, Aluf, Ofer, Shepelsky, Dmitry, Prilepsky, Jaroslaw E

    Published in Optics express (01-03-2021)
    “…Following the rise in interest in transmission systems employing the nonlinear Fourier transform (NFT) for the nonlinearity mitigation, we present the…”
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  11. 11

    Channel model for the dual-polarization b-modulated nonlinear frequency-division multiplexing optical transmission systems by Derevyanko, Stanislav A, Prilepsky, Jaroslaw E

    Published in Optics express (05-06-2023)
    “…We consider optical transmission systems based on the nonlinear frequency division multiplexing (NFDM) concept, i.e., the systems employing the nonlinear…”
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  12. 12

    Nonlinear inverse synthesis technique for optical links with lumped amplification by Le, Son Thai, Prilepsky, Jaroslaw E, Turitsyn, Sergei K

    Published in Optics express (06-04-2015)
    “…The nonlinear inverse synthesis (NIS) method, in which information is encoded directly onto the continuous part of the nonlinear signal spectrum, has been…”
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  13. 13

    Finite-Genus Solutions-Based Optical Communication With the Riemann-Hilbert Problem Transmitter and a Convolutional Neural Network Receiver by Bogdanov, Stepan, Shepelsky, Dmitry, Kamalian-Kopae, Morteza, Vasylchenkova, Anastasiia, Prilepsky, Jaroslaw E.

    Published in Journal of lightwave technology (15-08-2024)
    “…In the study, we develop a new optical communication system based on the nonlinear Fourier transform for generic (quasiperiodic) finite-genus solutions to the…”
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  14. 14

    Transfer Learning for Neural Networks-Based Equalizers in Coherent Optical Systems by Freire, Pedro J., Abode, Daniel, Prilepsky, Jaroslaw E., Costa, Nelson, Spinnler, Bernhard, Napoli, Antonio, Turitsyn, Sergei K.

    Published in Journal of lightwave technology (01-11-2021)
    “…In this work, we address the question of the adaptability of artificial neural networks (NNs) used for impairments mitigation in optical transmission systems…”
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  15. 15

    Complex-Valued Neural Network Design for Mitigation of Signal Distortions in Optical Links by Freire, Pedro J., Neskornuik, Vladislav, Napoli, Antonio, Spinnler, Bernhard, Costa, Nelson, Khanna, Ginni, Riccardi, Emilio, Prilepsky, Jaroslaw E., Turitsyn, Sergei K.

    Published in Journal of lightwave technology (15-03-2021)
    “…Nonlinearity compensation is considered as a key enabler to increase channel transmission rates in the installed optical communication systems. Recently,…”
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  16. 16

    Convolutional long short-term memory neural network equalizer for nonlinear Fourier transform-based optical transmission systems by Kotlyar, Oleksandr, Kamalian-Kopae, Morteza, Pankratova, Maryna, Vasylchenkova, Anastasiia, Prilepsky, Jaroslaw E, Turitsyn, Sergei K

    Published in Optics express (29-03-2021)
    “…We evaluate improvement in the performance of the optical transmission systems operating with the continuous nonlinear Fourier spectrum by the artificial…”
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  17. 17
  18. 18

    Nonlinear inverse synthesis and eigenvalue division multiplexing in optical fiber channels by Prilepsky, Jaroslaw E, Derevyanko, Stanislav A, Blow, Keith J, Gabitov, Ildar, Turitsyn, Sergei K

    Published in Physical review letters (04-07-2014)
    “…We scrutinize the concept of integrable nonlinear communication channels, resurrecting and extending the idea of eigenvalue communications in a novel context…”
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  19. 19

    Memory-aware end-to-end learning of channel distortions in optical coherent communications by Neskorniuk, Vladislav, Carnio, Andrea, Marsella, Domenico, Turitsyn, Sergei K, Prilepsky, Jaroslaw E, Aref, Vahid

    Published in Optics express (02-01-2023)
    “…We implement a new variant of the end-to-end learning approach for the performance improvement of an optical coherent-detection communication system. The…”
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  20. 20

    Periodic nonlinear Fourier transform for fiber-optic communications, Part I: theory and numerical methods by Kamalian, Morteza, Prilepsky, Jaroslaw E, Le, Son Thai, Turitsyn, Sergei K

    Published in Optics express (08-08-2016)
    “…In this work, we introduce the periodic nonlinear Fourier transform (PNFT) method as an alternative and efficacious tool for compensation of the nonlinear…”
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