Deep neural network-aided soft-demapping in coherent optical systems: Regression versus classification
We examine here what type of predictive modelling, classification, or regression, using
neural networks (NN), fits better the task of soft-demapping based post-processing in …
neural networks (NN), fits better the task of soft-demapping based post-processing in …
Memory-aware end-to-end learning of channel distortions in optical coherent communications
We implement a new variant of the end-to-end learning approach for the performance
improvement of an optical coherent-detection communication system. The proposed solution …
improvement of an optical coherent-detection communication system. The proposed solution …
Deep neural network-aided soft-demapping in optical coherent systems: Regression versus classification
We examine here what type of predictive modelling, classification, or regression, using
neural networks (NN), fits better the task of soft-demapping based post-processing in …
neural networks (NN), fits better the task of soft-demapping based post-processing in …
Deep learning methods for nonlinearity mitigation in coherent fiber-optic communication links
V Neskorniuk - 2022 - publications.aston.ac.uk
Nowadays, the demand for telecommunication services is rapidly growing. To meet this
everincreasing connectivity demand telecommunication industry needs to maintain the …
everincreasing connectivity demand telecommunication industry needs to maintain the …
[PDF][PDF] Neural Network based Post-Equalization in Optical Coherent Systems: Regression versus Classification
In this paper, we address the question of which type of predictive modeling, classification, or
regression, fits better the task of equalization using neural networks (NN) based post …
regression, fits better the task of equalization using neural networks (NN) based post …