Reducing computational complexity of neural networks in optical channel equalization: From concepts to implementation
This paper introduces a novel methodology for developing low-complexity neural network
(NN) based equalizers to address impairments in high-speed coherent optical transmission …
(NN) based equalizers to address impairments in high-speed coherent optical transmission …
[PDF][PDF] Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
PJ Freire, A Napoli, DA Ron, B Spinnler, M Anderson… - researchgate.net
In this paper, a new methodology is proposed that allows for the low-complexity
development of neural network (NN) based equalizers for the mitigation of impairments in …
development of neural network (NN) based equalizers for the mitigation of impairments in …
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
PJ Freire, A Napoli, DA Ron, B Spinnler… - Journal of …, 2023 - research.aston.ac.uk
This paper introduces a novel methodology for developing low-complexity neural network
(NN) based equalizers to address impairments in high-speed coherent optical transmission …
(NN) based equalizers to address impairments in high-speed coherent optical transmission …
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
PJ Freire, A Napoli, DA Ron, B Spinnler… - arXiv preprint arXiv …, 2022 - arxiv.org
In this paper, a new methodology is proposed that allows for the low-complexity
development of neural network (NN) based equalizers for the mitigation of impairments in …
development of neural network (NN) based equalizers for the mitigation of impairments in …
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
PJ Freire, A Napoli, B Spinnler, M Anderson… - Journal of Lightwave …, 2023 - opg.optica.org
This paper introduces a novel methodology for developing low-complexity neural network
(NN) based equalizers to address impairments in high-speed coherent optical transmission …
(NN) based equalizers to address impairments in high-speed coherent optical transmission …
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
PJ Freire, A Napoli, B Spinnler… - Journal of …, 2023 - ui.adsabs.harvard.edu
In this paper, a new methodology is proposed that allows for the low-complexity
development of neural network (NN) based equalizers for the mitigation of impairments in …
development of neural network (NN) based equalizers for the mitigation of impairments in …
Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
PJ Freire, A Napoli, DA Ron… - Journal of …, 2023 - publications.aston.ac.uk
This paper introduces a novel methodology for developing low-complexity neural network
(NN) based equalizers to address impairments in high-speed coherent optical transmission …
(NN) based equalizers to address impairments in high-speed coherent optical transmission …
[PDF][PDF] Reducing Computational Complexity of Neural Networks in Optical Channel Equalization: From Concepts to Implementation
PJ Freire, A Napoli, DA Ron, B Spinnler, M Anderson… - publications.aston.ac.uk
In this paper, a new methodology is proposed that allows for the low-complexity
development of neural network (NN) based equalizers for the mitigation of impairments in …
development of neural network (NN) based equalizers for the mitigation of impairments in …