Physics-Based Deep Learning for Fiber-Optic Communication Systems

27 October 2020

Papers citing "Physics-Based Deep Learning for Fiber-Optic Communication Systems"

9 / 9 papers shown

Title
Data-Driven Symbol Detection for Intersymbol Interference Channels with Bursty Impulsive Noise B. Karanov Chin-Hung Chen Yan Wu Alex Young Wim J. van Houtum 26 2 0 17 May 2024
Equalization in Dispersion-Managed Systems Using Learned Digital Back-Propagation Mohannad Abu-Romoh N. Costa Y. Jaouën A. Napoli J. Pedro B. Spinnler Mansoor I. Yousefi 39 2 0 26 May 2023
FPGA Implementation of Multi-Layer Machine Learning Equalizer with On-Chip Training Keren Liu E. Börjeson Christian Hager P. Larsson-Edefors 33 4 0 07 Dec 2022
Partial Differential Equations Meet Deep Neural Networks: A Survey Shudong Huang Wentao Feng Chenwei Tang Jiancheng Lv AI4CE AIMat 29 17 0 27 Oct 2022
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation Pedro J. Freire A. Napoli D. A. Ron B. Spinnler M. Anderson W. Schairer T. Bex N. Costa S. Turitsyn Jaroslaw E. Prilepsky 27 28 0 26 Aug 2022
Learned Digital Back-Propagation for Dual-Polarization Dispersion Managed Systems Mohannad Abu-Romoh N. Costa A. Napoli B. Spinnler Y. Jaouën Mansoor I. Yousefi 22 3 0 23 May 2022
SPDCinv: Inverse Quantum-Optical Design of High-Dimensional Qudits Eyal Rozenberg Aviv Karnieli O. Yesharim Joshua Foley-Comer Sivan Trajtenberg‐Mills Daniel Freedman A. Bronstein A. Arie 40 0 0 11 Dec 2021
Nonlinear Interference Mitigation via Deep Neural Networks Christian Hager H. Pfister 29 138 0 17 Oct 2017
An Introduction to Deep Learning for the Physical Layer Tim O'Shea J. Hoydis AI4CE 89 2,171 0 02 Feb 2017