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Yevhenii Osadchuk
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2020 – today
- 2024
- [c2]Yevhenii Osadchuk, Deming Kong, Darko Zibar, Francesco Da Ros:
Nonlinear Vector Autoregressor Equalization for PAM-4 Micro-Ring Modulator-based Short-Reach Transmission. OFC 2024: 1-3 - 2022
- [j1]Pedro J. Freire, Jaroslaw E. Prilepsky, Yevhenii Osadchuk, Sergei K. Turitsyn, Vahid Aref:
Deep Neural Network-Aided Soft-Demapping in Coherent Optical Systems: Regression Versus Classification. IEEE Trans. Commun. 70(12): 7973-7988 (2022) - [i2]Yevhenii Osadchuk, Ognjen Jovanovic, Darko Zibar, Francesco Da Ros:
Reservoir Computing-based Multi-Symbol Equalization for PAM 4 Short-reach Transmission. CoRR abs/2212.00738 (2022) - 2021
- [c1]Pedro J. Freire, Yevhenii Osadchuk, Bernhard Spinnler, Wolfgang Schairer, Antonio Napoli, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn:
Experimental Study of Deep Neural Network Equalizers Performance in Optical Links. OFC 2021: 1-3 - [i1]Pedro J. Freire, Yevhenii Osadchuk, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Nelson Costa, Jaroslaw E. Prilepsky, Sergei K. Turitsyn:
Experimental Evaluation of Computational Complexity for Different Neural Network Equalizers in Optical Communications. CoRR abs/2109.08711 (2021)
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last updated on 2024-06-07 19:14 CEST by the dblp team
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