Zobrazeno 1 - 8
of 8
pro vyhledávání: '"Yevhenii Osadchuk"'
Publikováno v:
IEEE Transactions on Communications. 70:7973-7988
Autor:
Yevhenii Osadchuk, Roman Dischler, Darko Zibar, Stenio M. Ranzini, Vahid Aref, Francesco Da Ros
Publikováno v:
Osadchuk, Y, Dischler, R, Zibar, D, Ranzini, S M, Aref, V & Ros, F D 2022, Samples vs. Symbols-based Feedforward Neural Network equalization for Short Reach Transmission . in Proceedings of 2022 IEEE Photonics Conference ., 9975476, IEEE, pp. 1-2, 2022 IEEE Photonics Conference, Vancouver, British Columbia, Canada, 13/11/2022 . https://doi.org/10.1109/IPC53466.2022.9975476
We numerically and experimentally compare the performance of samples (Sa-FNN) versus symbols-based (Sy-FNN) feedforward neural network (FNN) equalizers to mitigate chromatic dispersion in intensity-modulated directly detected 32GBd OOK transmission w
Autor:
Bernhard Spinnler, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, Yevhenii Osadchuk, Nelson Costa, Wolfgang Schairer, Pedro J. Freire, Antonio Napoli
Publikováno v:
Journal of Lightwave Technology
We present the results of the comparative analysis of the performance versus complexity for several types of artificial neural networks (NNs) used for nonlinear channel equalization in coherent optical communication systems. The comparison has been c
Autor:
Francesco Da Ros, Stenio M. Ranzini, Yevhenii Osadchuk, Ali Cem, Bernard J. Giron Castro, Darko Zibar
Publikováno v:
Da Ros, F, Ranzini, S M, Osadchuk, Y, Cem, A, Giron Castro, B J & Zibar, D 2022, ' Reservoir-computing and neural-network-based equalization for short reach communication ', Signal Processing in Photonic Communications 2022, Maastricht, Netherlands, 24/07/2022-28/07/2022 . https://doi.org/10.1364/SPPCOM.2022.SpTu1J.1
We review the use of neural-network-based equalizers for mitigating the power fading effect in intensity-modulated directly detected links, and compare the different approaches reported in the literature.
Publikováno v:
Zenodo (Code accompanying https://arxiv.org/abs/2109.13843)
Autor:
P. Kurek, Radovan Bureš, Magdaléna Strečková, Yevhenii Osadchuk, Ján Füzer, Mária Fáberová, Peter Kollár, L'. Dakova, M. Vojtko, Samuel Dobák
Publikováno v:
IEEE Transactions on Magnetics. 54:1-6
This paper investigated the magnetic properties of novel soft magnetic composite (SMC) with ferrite nanofibers. Material consists of FeSi powder covered by resin and different amounts of Ni0.3Zn0.7Fe2O4 ferrite nanofibers. We prepared SMC with very h
Autor:
Yevhenii Osadchuk, Wolfgang Schairer, Sergei K. Turitsyn, Jaroslaw E. Prilepsky, Bernhard Spinnler, Pedro J. Freire, Nelson Costa, Antonio Napoli
Publikováno v:
OFC
OFC 2021
Scopus-Elsevier
OFC 2021
Scopus-Elsevier
We propose a convolutional-recurrent channel equalizer and experimentally demonstrate 1dB Q-factor improvement both in single-channel and 96 x WDM, DP-16QAM transmission over 450km of TWC fiber. The new equalizer outperforms previous NN-based approac
Autor:
Radovan Bureš, P. Kurek, Peter Kollár, Magdaléna Strečková, Mária Fáberová, Samuel Dobák, Ľ. Ďáková, M. Vojtko, Yevhenii Osadchuk, Ján Füzer
Publikováno v:
Journal of Alloys and Compounds. 753:219-227
Soft magnetic materials with an excellent performance are desired for functional applications. We present an innovative method for manufacturing the soft magnetic composites that may pave the way for magnetic cores with improved electromagnetic prope