Feedforward and recurrent neural network-based transfer learning for nonlinear equalization in short-reach optical links
Neural network (NN)-based nonlinear equalizers have been shown effective for various
types of short-reach direct detection systems. However, they work best for a certain channel …
types of short-reach direct detection systems. However, they work best for a certain channel …
Transfer learning aided neural networks for nonlinear equalization in short-reach direct detection systems
Transfer Learning Aided Neural Networks for Nonlinear Equalization in Short-Reach Direct
Detection Systems Page 1 T4D.4.pdf OFC 2020 © OSA 2020 Transfer Learning Aided Neural …
Detection Systems Page 1 T4D.4.pdf OFC 2020 © OSA 2020 Transfer Learning Aided Neural …
Low-complexity multi-task learning aided neural networks for equalization in short-reach optical interconnects
With the rapid development of machine learning technologies in recent years, different types
of neural network (NN)-based equalizers have been proposed and proved to be efficient …
of neural network (NN)-based equalizers have been proposed and proved to be efficient …
Low complexity neural network equalization based on multi-symbol output technique for 200+ Gbps IM/DD short reach optical system
Nowadays, Neural network (NN) has been proved to be an effective solution for nonlinear
equalization in short reach optical systems. However, recent research has mainly focused …
equalization in short reach optical systems. However, recent research has mainly focused …
Low computationally complex recurrent neural network for high speed optical fiber transmission
The demand for high speed data transmission has increased rapidly over the past few years,
leading to the development of the data center concept. Considering that vertical cavity …
leading to the development of the data center concept. Considering that vertical cavity …
Computational complexity comparison of feedforward/radial basis function/recurrent neural network-based equalizer for a 50-Gb/s PAM4 direct-detection optical link
The computational complexity and system bit-error-rate (BER) performance of four types of
neural-network-based nonlinear equalizers are analyzed for a 50-Gb/s pulse amplitude …
neural-network-based nonlinear equalizers are analyzed for a 50-Gb/s pulse amplitude …
Joint equalization of linear and nonlinear impairments for PAM4 short-reach direct detection systems
Various neural network (NN)-based equalizers have been proposed as effective digital
signal processing (DSP) tools for short-reach optical direct detection (DD) communication …
signal processing (DSP) tools for short-reach optical direct detection (DD) communication …
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 …
LSTM networks enabled nonlinear equalization in 50-Gb/s PAM-4 transmission links
This paper proposes a nonlinear equalization technique enabled by long short-term memory
(LSTM) recurrent neural networks. The proposed technique is implemented at the end of …
(LSTM) recurrent neural networks. The proposed technique is implemented at the end of …
Convolutional long short-term memory neural network equalizer for nonlinear Fourier transform-based optical transmission systems
We evaluate improvement in the performance of the optical transmission systems operating
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …
with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …