Neural networks-based equalizers for coherent optical transmission: Caveats and pitfalls
This paper performs a detailed, multi-faceted analysis of key challenges and common
design caveats related to the development of efficient neural networks (NN) based nonlinear …
design caveats related to the development of efficient neural networks (NN) based nonlinear …
10.83 Tb/s over 800 Km nonlinear frequency division multiplexing WDM transmission
X Chen, X Fang, F Yang, F Zhang - Journal of Lightwave …, 2022 - ieeexplore.ieee.org
Nonlinear frequency division multiplexing (NFDM) transmission scheme has attracted great
interest in optical fiber communication systems due to its potential for surpassing the Kerr …
interest in optical fiber communication systems due to its potential for surpassing the Kerr …
One-day-ahead solar irradiation and windspeed forecasting with advanced deep learning techniques
In recent years, demand for electric energy has steadily increased; therefore, the integration
of renewable energy sources (RES) at a large scale into power systems is a major concern …
of renewable energy sources (RES) at a large scale into power systems is a major concern …
Serial and parallel convolutional neural network schemes for NFDM signals
Two conceptual convolutional neural network (CNN) schemes are proposed, developed and
analysed for directly decoding nonlinear frequency division multiplexing (NFDM) signals …
analysed for directly decoding nonlinear frequency division multiplexing (NFDM) signals …
Complexity reduction over Bi-RNN-based nonlinearity mitigation in dual-pol fiber-optic communications via a CRNN-based approach
Bidirectional recurrent neural networks (bi-RNNs), in particular bidirectional long short term
memory (bi-LSTM), bidirectional gated recurrent unit, and convolutional bi-LSTM models …
memory (bi-LSTM), bidirectional gated recurrent unit, and convolutional bi-LSTM models …
81-GHz W-band 60-Gbps 64-QAM wireless transmission based on a dual-GRU equalizer
We propose a dual gated recurrent unit neural network based on nonlinear equalizer (dual-
GRU NLE) for radio-over-fiber (ROF) communication systems. The dual equalization …
GRU NLE) for radio-over-fiber (ROF) communication systems. The dual equalization …
Computer-automated design of mode-locked fiber lasers
JS Feehan, SR Yoffe, E Brunetti, M Ryser… - Optics express, 2022 - opg.optica.org
We automate the mode-locked fiber laser design process using a modified genetic algorithm
and an intuitive optimization loss function to control highly accurate polarization-resolved …
and an intuitive optimization loss function to control highly accurate polarization-resolved …
Neural network-based fiber nonlinearity mitigation in high-speed coherent optical transmission systems
In this paper, we review the recent progress of neural network-based Kerr nonlinearity
mitigation techniques in high-speed coherent optical fiber transmission systems. Current …
mitigation techniques in high-speed coherent optical fiber transmission systems. Current …
Investigating the performance and suitability of neural network architectures for nonlinearity mitigation of optical signals
We compare three different neural network architectures for nonlinearity mitigation of 32
GBd OOK and QPSK signals after transmission over a dispersion-compensated link of 10 …
GBd OOK and QPSK signals after transmission over a dispersion-compensated link of 10 …
[PDF][PDF] One-Day-Ahead Solar Irradiation and Windspeed Forecasting with Advanced Deep Learning Techniques. Energies 2022, 15, 4361
In recent years, demand for electric energy has steadily increased; therefore, the integration
of renewable energy sources (RES) at a large scale into power systems is a major concern …
of renewable energy sources (RES) at a large scale into power systems is a major concern …