We propose an artificial neural network (ANN)-based scheme to improve the performance of
nonlinear frequency division multiplexing (NFDM) optical transmission systems in both time …

Nonlinear frequency division multiplexing (NFDM) transmission scheme has attracted great
interest in optical fiber communication systems due to its potential for surpassing the Kerr …

A novel nonlinear equalizer based on a multiple-input multiple-output (MIMO) deep neural
network (DNN) is proposed and experimentally demonstrated for compensation of inter …

In multiple-eigenvalue modulated nonlinear frequency division multiplexing (NFDM)
systems, the noise degrades the accuracy of the nonlinear Fourier transform (NFT) …

We propose a novel artificial neural network nonlinearity equalizer based on multiple layers
perceptron (MLP-ANN NLE) for16-quadrature amplitude modulation (16-QAM) coherent …

Nonlinear frequency division multiplexing (NFDM) is a novel optical communication
technique that can achieve nonlinear free transmission. However, current design of NFDM is …

A fast Newton-based support vector machine (N-SVM) nonlinear equalizer (NLE) is
experimentally demonstrated, for the first time, in 40 Gb/s 16-quadrature amplitude …

In this work, we propose to use various artificial neural network (ANN) structures for
modeling and compensation of intra-and inter-subcarrier fiber nonlinear interference in …

Nonlinear impairments caused by devices and fiber transmission links in a coherent optical
communication system can severely limit its transmission distance and achievable capacity …

We propose a novel low-complexity artificial neural network (ANN)-based nonlinear
equalizer (NLE) for coherent optical orthogonal frequency-division multiplexing (CO-OFDM) …