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End-to-end learning for the nonlinear fiber channel
Jovanovic, Ognjen
(PhD Student)
Schmalen, Laurent
(Examiner)
Wymeersch, Henk
(Examiner)
Galili, Michael
(Examiner)
Zibar, Darko
(Main Supervisor)
Da Ros, Francesco
(Supervisor)
Yankov, Metodi Plamenov
(Supervisor)
Machine Learning in Photonic Systems
Department of Electrical and Photonics Engineering
Centre of Excellence for Silicon Photonics for Optical Communications
Coding and Visual Communication
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/10/2019
→
16/01/2023
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Explore the research topics touched on by this project. These labels are generated based on the underlying awards/grants. Together they form a unique fingerprint.
Autoencoder
Keyphrases
100%
Nonlinear Fiber Channel
Keyphrases
100%
Fibre Channel
Engineering
100%
Channel Model
Keyphrases
83%
Mutual Information
Engineering
66%
Optical Communication Systems
Keyphrases
33%
Optimization Procedure
Keyphrases
33%
Generalized mutual Information
Keyphrases
33%
Research output
Research output per year
2022
2022
2022
1
Ph.D. thesis
Research output per year
Research output per year
End-to-end learning for the nonlinear fiber channel
Jovanovic, O.,
2022
,
Technical University of Denmark
.
136 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Nonlinear Fiber Channel
100%
Autoencoder
100%
Fibre Channel
100%
Channel Model
83%
Mutual Information
66%
232
Downloads (Orbit)