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 …
Ultralow complexity long short-term memory network for fiber nonlinearity mitigation in coherent optical communication systems
H Ming, X Chen, X Fang, L Zhang, C Li… - Journal of Lightwave …, 2021 - opg.optica.org
Fiber Kerr nonlinearity is a fundamental limitation to the achievable capacity of long-distance
optical fiber communication. Digital back-propagation (DBP) is a primary methodology to …
optical fiber communication. Digital back-propagation (DBP) is a primary methodology to …
Combining IST-based CFO compensation and neural network-based demodulation for eigenvalue-modulated signal
Eigenvalue-based communication technologies using inverse scattering transform (IST)
have gained attention as a new transmission strategy in optical fiber communications. In …
have gained attention as a new transmission strategy in optical fiber communications. In …
[HTML][HTML] 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 …
Neural network for calculating direct and inverse nonlinear Fourier transform
A neural network architecture is proposed that allows a continuous nonlinear spectrum of
optical signals to be predicted and an inverse nonlinear Fourier transform (NFT) to be …
optical signals to be predicted and an inverse nonlinear Fourier transform (NFT) to be …
Applications of machine learning on nonlinear frequency division multiplexing optic-fiber communication systems
L Xi, J Wei, W Zhang - 2021 IEEE 9th International Conference …, 2021 - ieeexplore.ieee.org
Nonlinear frequency division multiplexing system becomes one of the promising candidates
for overcoming the fiber's nonlinearity limitations. To improve the system's performance …
for overcoming the fiber's nonlinearity limitations. To improve the system's performance …
Нейронная сеть для вычисления прямого и обратного нелинейного преобразования Фурье
ЕВ Седов, ИС Чеховской, ЯЕ Прилепский - Квантовая электроника, 2021 - mathnet.ru
Предложена архитектура нейронной сети, позволяющей прогнозировать
непрерывный нелинейный спектр оптических сигналов и выполнять обратное …
непрерывный нелинейный спектр оптических сигналов и выполнять обратное …
Visual Question and Answering System for NLP and Computer Vision Problems
D Koziy, N Shakhovska - 2021 11th IEEE International …, 2021 - ieeexplore.ieee.org
The purpose of this work is to develop a Visual question and answering system. Several
neural networks of different architectures were traine. Ensembles of convolution neural …
neural networks of different architectures were traine. Ensembles of convolution neural …
Computing continuous nonlinear Fourier spectrum of optical signal with artificial neural networks
Computing Continuous Nonlinear Fourier Spectrum of Optical Signal with Artificial Neural
Networks Page 1 ej_1_4.pdf CLEO Europe and EQEC 2021 Computing Continuous Nonlinear …
Networks Page 1 ej_1_4.pdf CLEO Europe and EQEC 2021 Computing Continuous Nonlinear …
Neural networks for computing the continuous nonlinear Fourier spectrum in focusing nonlinear Schrodinger equation: NFT-Net
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 …