Nonlinear problems have drawn great interest and extensive attention from engineers,
physicists and mathematicians and many other scientists because most real systems are …

Digital signal processing for fiber nonlinearities [Invited] clickable element to expand a topic
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We propose a bi-directional gated recurrent unit neural network based nonlinear equalizer
(bi-GRU NLE) for coherent optical communication systems. The performance of bi-GRU NLE …

In this paper, we review the historical evolution of predictions of the performance of optical
communication systems. We will describe how such predictions were made from the outset …

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

Optical communication systems represent the backbone of modern communication
networks. Since their deployment, different fiber technologies have been used to deal with …

Unlike ultralong coherent optical systems that seriously suffer from fiber nonlinearities, short-
reach noncoherent systems such as data center interconnections, which utilize small, cheap …

To cope with the various nonlinear signal distortions in intensity-modulation/direct-detection
transmission systems, a theoretical analysis on the Volterra nonlinear equalizer (VNLE) is …

We investigate the complexity and performance of recurrent neural network (RNN) models
as post-processing units for the compensation of fibre nonlinearities in digital coherent …

We investigate the application of dynamic deep neural networks for nonlinear equalization
in long haul transmission systems. Through extensive numerical analysis we identify their …