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Model-Based Machine Learning for Joint Digital Backpropagation and PMD
  Compensation

Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation

25 January 2020
Christian Hager
H. Pfister
Rick M. Bütler
G. Liga
A. Alvarado
ArXivPDFHTML

Papers citing "Model-Based Machine Learning for Joint Digital Backpropagation and PMD Compensation"

12 / 12 papers shown
Title
Revisiting Multi-Step Nonlinearity Compensation with Machine Learning
Revisiting Multi-Step Nonlinearity Compensation with Machine Learning
Christian Hager
H. Pfister
Rick M. Bütler
G. Liga
A. Alvarado
31
11
0
22 Apr 2019
What Can Machine Learning Teach Us about Communications?
What Can Machine Learning Teach Us about Communications?
Mengke Lian
Christian Hager
H. Pfister
50
18
0
22 Jan 2019
Wideband Time-Domain Digital Backpropagation via Subband Processing and
  Deep Learning
Wideband Time-Domain Digital Backpropagation via Subband Processing and Deep Learning
Christian Hager
H. Pfister
50
19
0
04 Jul 2018
ASIC Implementation of Time-Domain Digital Backpropagation with
  Deep-Learned Chromatic Dispersion Filters
ASIC Implementation of Time-Domain Digital Backpropagation with Deep-Learned Chromatic Dispersion Filters
C. Fougstedt
Christian Hager
L. Svensson
H. Pfister
P. Larsson-Edefors
35
15
0
19 Jun 2018
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
34
129
0
16 May 2018
Deep Learning of Geometric Constellation Shaping including Fiber
  Nonlinearities
Deep Learning of Geometric Constellation Shaping including Fiber Nonlinearities
R. Jones
T. Eriksson
M. Yankov
D. Zibar
FedML
27
86
0
10 May 2018
Achievable Information Rates for Nonlinear Fiber Communication via
  End-to-end Autoencoder Learning
Achievable Information Rates for Nonlinear Fiber Communication via End-to-end Autoencoder Learning
Shen Li
Christian Hager
Nil Garcia
H. Wymeersch
22
72
0
20 Apr 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
66
286
0
11 Apr 2018
Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic
  Communications
Deep Learning of the Nonlinear Schrödinger Equation in Fiber-Optic Communications
Christian Hager
H. Pfister
36
41
0
09 Apr 2018
Nonlinear Interference Mitigation via Deep Neural Networks
Nonlinear Interference Mitigation via Deep Neural Networks
Christian Hager
H. Pfister
48
139
0
17 Oct 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
128
2,188
0
02 Feb 2017
Adam: A Method for Stochastic Optimization
Adam: A Method for Stochastic Optimization
Diederik P. Kingma
Jimmy Ba
ODL
850
149,474
0
22 Dec 2014
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