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Concept and Experimental Demonstration of Optical IM/DD End-to-End
  System Optimization using a Generative Model
v1v2 (latest)

Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model

11 December 2019
B. Karanov
M. Chagnon
Vahid Aref
D. Lavery
P. Bayvel
Laurent Schmalen
ArXiv (abs)PDFHTML

Papers citing "Concept and Experimental Demonstration of Optical IM/DD End-to-End System Optimization using a Generative Model"

6 / 6 papers shown
Title
End-to-End Optimized Transmission over Dispersive Intensity-Modulated
  Channels Using Bidirectional Recurrent Neural Networks
End-to-End Optimized Transmission over Dispersive Intensity-Modulated Channels Using Bidirectional Recurrent Neural Networks
B. Karanov
D. Lavery
P. Bayvel
Laurent Schmalen
30
83
0
24 Jan 2019
Approximating the Void: Learning Stochastic Channel Models from
  Observation with Variational Generative Adversarial Networks
Approximating the Void: Learning Stochastic Channel Models from Observation with Variational Generative Adversarial Networks
Tim O'Shea
Tamoghna Roy
Nathan E. West
GAN
47
129
0
16 May 2018
End-to-end Deep Learning of Optical Fiber Communications
End-to-end Deep Learning of Optical Fiber Communications
B. Karanov
M. Chagnon
F. Thouin
T. Eriksson
H. Bülow
D. Lavery
P. Bayvel
Laurent Schmalen
84
288
0
11 Apr 2018
End-to-End Learning of Communications Systems Without a Channel Model
End-to-End Learning of Communications Systems Without a Channel Model
Fayçal Ait Aoudia
J. Hoydis
58
174
0
06 Apr 2018
Deep Learning-Based Communication Over the Air
Deep Learning-Based Communication Over the Air
Sebastian Dörner
Sebastian Cammerer
J. Hoydis
S. Brink
63
716
0
11 Jul 2017
An Introduction to Deep Learning for the Physical Layer
An Introduction to Deep Learning for the Physical Layer
Tim O'Shea
J. Hoydis
AI4CE
140
2,198
0
02 Feb 2017
1