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Machine learning algorithms for emulation of nonlinear optical fibre impairments
Jones, Rasmus Thomas
(PhD Student)
Zibar, Darko
(Main Supervisor)
Forchhammer, Søren
(Examiner)
Carena, Andrea
(Examiner)
Okonkwo, Chigo
(Examiner)
Yankov, Metodi Plamenov
(Supervisor)
Overview
Fingerprint
Publications
(1)
Project Details
Status
Finished
Effective start/end date
01/11/2015
→
23/01/2019
Funding
Samfinansierede - Virksomhed
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Fingerprint
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.
Machine Learning
Physics
100%
Optical Communication
Physics
100%
Learning Method
Computer Science
100%
Fibers
Physics
71%
Model
Physics
57%
Models
Computer Science
57%
Constellation
Physics
42%
Solitary Wave
Physics
42%
Research output
Publications per year
2019
2019
2019
1
Ph.D. thesis
Publications per year
Publications per year
Machine Learning Methods in Coherent Optical Communication Systems
Jones, R. T.
,
2019
, Kgs. Lyngby:
Technical University of Denmark
.
140 p.
Research output
:
Book/Report
›
Ph.D. thesis
Open Access
File
Optical Communication
100%
Machine Learning
100%
Learning Method
100%
Fibers
71%
Model
57%
2468
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