Nonlinear interference mitigation via deep neural networks
Publication
, Conference
Hager, C; Pfister, HD
Published in: 2018 Optical Fiber Communications Conference and Exposition Ofc 2018 Proceedings
June 13, 2018
A neural-network-based approach is presented to efficiently implement digital backpropagation (DBP). For a 32×100 km fiber-optic link, the resulting 'learned' DBP significantly reduces the complexity compared to conventional DBP implementations.
Duke Scholars
Published In
2018 Optical Fiber Communications Conference and Exposition Ofc 2018 Proceedings
Publication Date
June 13, 2018
Start / End Page
1 / 3
Citation
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MLA
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Hager, C., & Pfister, H. D. (2018). Nonlinear interference mitigation via deep neural networks. In 2018 Optical Fiber Communications Conference and Exposition Ofc 2018 Proceedings (pp. 1–3).
Hager, C., and H. D. Pfister. “Nonlinear interference mitigation via deep neural networks.” In 2018 Optical Fiber Communications Conference and Exposition Ofc 2018 Proceedings, 1–3, 2018.
Hager C, Pfister HD. Nonlinear interference mitigation via deep neural networks. In: 2018 Optical Fiber Communications Conference and Exposition Ofc 2018 Proceedings. 2018. p. 1–3.
Hager, C., and H. D. Pfister. “Nonlinear interference mitigation via deep neural networks.” 2018 Optical Fiber Communications Conference and Exposition Ofc 2018 Proceedings, 2018, pp. 1–3.
Hager C, Pfister HD. Nonlinear interference mitigation via deep neural networks. 2018 Optical Fiber Communications Conference and Exposition Ofc 2018 Proceedings. 2018. p. 1–3.
Published In
2018 Optical Fiber Communications Conference and Exposition Ofc 2018 Proceedings
Publication Date
June 13, 2018
Start / End Page
1 / 3