Transfer learning for neural networks-based equalizers in coherent optical systems
In this work, we address the question of the adaptability of artificial neural networks (NNs)
used for impairments mitigation in optical transmission systems. We demonstrate that by …
used for impairments mitigation in optical transmission systems. We demonstrate that by …
A fiber nonlinearity compensation scheme with complex-valued dimension-reduced neural network
P He, F Wu, M Yang, A Yang, P Guo… - IEEE Photonics …, 2021 - ieeexplore.ieee.org
A fiber nonlinearity compensation scheme based on a complex-valued dimension-reduced
neural network is proposed. The proposed scheme performs all calculations in complex …
neural network is proposed. The proposed scheme performs all calculations in complex …
Neural networks for computing and denoising the continuous nonlinear Fourier spectrum in focusing nonlinear Schrödinger equation
We combine the nonlinear Fourier transform (NFT) signal processing with machine learning
methods for solving the direct spectral problem associated with the nonlinear Schrödinger …
methods for solving the direct spectral problem associated with the nonlinear Schrödinger …
Attention-based neural network equalization in fiber-optic communications
A Shahkarami, MI Yousefi, Y Jaouën - Asia Communications and …, 2021 - opg.optica.org
Attention-Based Neural Network Equalization in Fiber-Optic Communications Page 1
Attention-Based Neural Network Equalization in Fiber-Optic Communications Abtin …
Attention-Based Neural Network Equalization in Fiber-Optic Communications Abtin …
Efficient deep learning of nonlinear fiber-optic communications using a convolutional recurrent neural network
A Shahkarami, MI Yousefi… - 2021 20th IEEE …, 2021 - ieeexplore.ieee.org
Nonlinear channel impairments are a major obstacle in fiber-optic communication systems.
To facilitate a higher data rate in these systems, the complexity of the underlying digital …
To facilitate a higher data rate in these systems, the complexity of the underlying digital …
Fiber nonlinearity mitigation with a perturbation based Siamese neural network receiver
MM Melek, D Yevick - Optical Fiber Technology, 2021 - Elsevier
We simulate nonlinear distortion compensation of single frequency dual polarization signals
propagating in single mode optical fibers with a combination of Siamese Neural Networks …
propagating in single mode optical fibers with a combination of Siamese Neural Networks …
Power and modulation format transfer learning for neural network equalizers in coherent optical transmission systems
Power and Modulation Format Transfer Learning for Neural Network Equalizers in Coherent
Optical Transmission Systems Page 1 Power and Modulation Format Transfer Learning for …
Optical Transmission Systems Page 1 Power and Modulation Format Transfer Learning for …
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 …
Experimental implementation of a neural network optical channel equalizer in restricted hardware using pruning and quantization
The deployment of artificial neural networks-based optical channel equalizers on edge-
computing devices is critically important for the next generation of optical communication …
computing devices is critically important for the next generation of optical communication …
Experimental evaluation of computational complexity for different neural network equalizers in optical communications
Experimental Evaluation of Computational Complexity for Different Neural Network
Equalizers in Optical Communications Page 1 Experimental Evaluation of Computational …
Equalizers in Optical Communications Page 1 Experimental Evaluation of Computational …