Add to ORKGA novel artificial neural network (ANN)-based nonlinear equalizer (NLE) of low complexity is demonstrated for 40-Gb/s CO-OFDM at 2000 km, revealing similar to 1.5 dB enhancement in Q-factor compared to inverse Volterra-series transfer function based NLE. (C) 2016 Optical Society of AmericaOptical Fiber Communications Conference and Exhibition (OFC)MAR 20-24, 2016Anaheim, C
In this paper, we present a computationally efficient neural network (NN) for equalization of nonlin...
In this study the impact of a Radio-over-Fiber (RoF) subsystem on the performance of Orthogonal Freq...
An attention mechanism is integrated into neural network-based equalizers to prune the fully-connect...
We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) fo...
Nonlinear distortion has always been a challenge for optical communication due to the nonlinear tra...
We propose a novel design of neural networks for mitigating the fiber nonlinearity, employing a stru...
A support vector machine (SVM)-based classification nonlinear equalizer (NLE) is demonstrated, for t...
The computational complexity and system bit-error-rate (BER) performance of four types of neural-net...
A novel artificial neural network equalizer for use in short-reach optical links is proposed. 112Gb/...
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)A novel versatile digital signal proces...
FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOA novel versatile digital signal proces...
We evaluate improvement in the performance of the optical transmission systems operating with the co...
We propose an efficient neural-network-based equalization jointly compensating fiber and transceiver...
We experimentally demonstrate 7-dB reduction of nonlinearity penalty in 40-Gb/s CO-OFDM at 2000-km u...
We investigate the application of dynamic deep neural networks for nonlinear equalization in long ha...
In this paper, we present a computationally efficient neural network (NN) for equalization of nonlin...
In this study the impact of a Radio-over-Fiber (RoF) subsystem on the performance of Orthogonal Freq...
An attention mechanism is integrated into neural network-based equalizers to prune the fully-connect...
We propose a novel low-complexity artificial neural network (ANN)-based nonlinear equalizer (NLE) fo...
Nonlinear distortion has always been a challenge for optical communication due to the nonlinear tra...
We propose a novel design of neural networks for mitigating the fiber nonlinearity, employing a stru...
A support vector machine (SVM)-based classification nonlinear equalizer (NLE) is demonstrated, for t...
The computational complexity and system bit-error-rate (BER) performance of four types of neural-net...
A novel artificial neural network equalizer for use in short-reach optical links is proposed. 112Gb/...
Fundação de Amparo à Pesquisa do Estado de São Paulo (FAPESP)A novel versatile digital signal proces...
FAPESP - FUNDAÇÃO DE AMPARO À PESQUISA DO ESTADO DE SÃO PAULOA novel versatile digital signal proces...
We evaluate improvement in the performance of the optical transmission systems operating with the co...
We propose an efficient neural-network-based equalization jointly compensating fiber and transceiver...
We experimentally demonstrate 7-dB reduction of nonlinearity penalty in 40-Gb/s CO-OFDM at 2000-km u...
We investigate the application of dynamic deep neural networks for nonlinear equalization in long ha...
In this paper, we present a computationally efficient neural network (NN) for equalization of nonlin...
In this study the impact of a Radio-over-Fiber (RoF) subsystem on the performance of Orthogonal Freq...
An attention mechanism is integrated into neural network-based equalizers to prune the fully-connect...