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61 lines
2.5 KiB
BibTeX
61 lines
2.5 KiB
BibTeX
@article{klare2021jss,
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title = {{Enabling consistency in view-based system development -- The Vitruvius approach}},
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journal = {Journal of Systems and Software},
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year = {2021},
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volume = {171},
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issn = {0164-1212},
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doi = {10.1016/j.jss.2020.110815},
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url = {http://www.sciencedirect.com/science/article/pii/S0164121220302144},
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author = {Heiko Klare and Max E. Kramer and Michael Langhammer and Dominik Werle and Erik Burger and Ralf Reussner},
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keywords = {Consistency, Model-driven software development, Model transformations, Model views},
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}
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@InProceedings{Rode23ECOC,
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author = {A. Rode and W. A. Gebrehiwot and S. Chimmalgi and L. Schmalen},
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title = {Optimized geometric constellation shaping for {Wiener} phase noise channels with {Viterbi-Viterbi} carrier phase estimation},
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booktitle = {Proc. Eur. Conf. Opt. Commun. (ECOC)},
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address = {Glasgow, UK},
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OPTnote = {https://arxiv.org/abs/2307.01367},
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month = Oct,
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year = {2023},
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}
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@article{Karanov18JLT,
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title={End-to-end deep learning of optical fiber communications},
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author={Karanov, Boris and Chagnon, Mathieu and Thouin, F{\'e}lix and Eriksson, Tobias A and B{\"u}low, Henning and Lavery, Domani{\c{c}} and Bayvel, Polina and Schmalen, Laurent},
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journal=IEEE_J_JLT,
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volume={36},
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number={20},
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pages={4843--4855},
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year={2018},
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publisher={IEEE}
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}
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@article{Rode23JLT,
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author = {A. Rode and B. Geiger and S. Chimmalgi and L. Schmalen},
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title = {End-to-end optimization of constellation shaping for {Wiener} phase noise channels with a differentiable blind phase search},
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journal = IEEE_J_JLT,
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volume = {41},
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number = {12},
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pages = {3849-3859},
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OPTnote = {https://arxiv.org/abs/2212.03839},
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month = Jun,
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year = {2023},
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OPTurl = {https://ieeexplore.ieee.org/document/10093964},
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OPTcode_url = {https://github.com/kit-cel/e2e_opt_diff_bps}
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}
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@inproceedings{gaiarin2020end,
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title={End-to-end optimized nonlinear Fourier transform-based coherent communications},
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author={Gaiarin, Simone and Jones, {Rasmus T} and {Da Ros}, Francesco and Zibar, Darko},
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booktitle={2020 Conference on Lasers and Electro-Optics (CLEO)},
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pages={1--2},
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year={2020},
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organization={IEEE}
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}
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@inproceedings{li2018achievable,
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title={Achievable information rates for nonlinear fiber communication via end-to-end autoencoder learning},
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author={Li, Shen and H{\"a}ger, Christian and Garcia, Nil and Wymeersch, Henk},
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booktitle={2018 European Conference on Optical Communication (ECOC)},
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pages={1--3},
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year={2018},
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organization={IEEE}
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} |