Simplifying the Supervised Learning of Kerr Nonlinearity Compensation Algorithms by Data Augmentation

Vladislav Neskorniuk^*, Pedro Jorge Freire de Carvalho Souza, Antonio Napoli, Bernhard Spinnler, Wolfgang Schairer, Jaroslaw E. Prilepsky, Nelson Costa, Sergei K. Turitsyn

^*Corresponding author for this work

Aston Institute of Photonic Technologies (AiPT)
College of Engineering and Physical Sciences

Research output: Chapter in Book/Published conference output › Conference publication

2 results
- Title(descending)
- Award date

Deep Learning Methods for Nonlinearity Mitigation in Coherent Fiber-Optic Communication Links
Neskorniuk, V. (Author), Turitsyn, S. (Supervisor) & Prylepskiy, Y. (Supervisor), Nov 2022
Student thesis: Doctoral Thesis › Doctor of Philosophy

File
Machine Learning Techniques To Mitigate Nonlinear Impairments In Optical Fiber System
Freire de Carvalho Souza, P. J. (Author), Turitsyn, S. (Supervisor) & Prylepskiy, Y. (Supervisor), Dec 2022
Student thesis: Doctoral Thesis › Doctor of Philosophy

File

Simplifying the Supervised Learning of Kerr Nonlinearity Compensation Algorithms by Data Augmentation

Student theses

Search results

Deep Learning Methods for Nonlinearity Mitigation in Coherent Fiber-Optic Communication Links

Machine Learning Techniques To Mitigate Nonlinear Impairments In Optical Fiber System