In recent years the PON research community has focused on future systems targeting 100
Gb/s/and beyond, with digital signal processing seen as a key enabling technology …

We design and implement an adaptive machine learning equalizer that alternates multiple
linear and nonlinear computational layers on an FPGA. On-chip training via gradient …

In recent years, communication engineers put strong emphasis on artificial neural network
(ANN)-based algorithms with the aim of increasing the flexibility and autonomy of the system …

Kerr nonlinearity in the form of self-and cross-phase modulation imposes a fundamental
limitation to the capacity of wavelength division multiplexed (WDM) optical communication …

Electronic nonlinear equalization is a promising technology to compensate for signal
impairments in passive optical networks (PONs). However, the high complexity of nonlinear …

Machine learning methods, including artificial neural networks, used for mitigation of
nonlinear transmission impairments in ultra-long-haul and long-haul unmanaged fibre-optic …

We investigated the gain provided by optimal-super-Gaussian in the DP-PCS-64QAM
system. Results indicate that the maximum 0.24/0.18/0.15-dB Q^2 factor gain is achieved …

In this work, we present a high-throughput field programmable gate array (FPGA)
demonstrator of an artificial neural network (ANN)-based equalizer. The equalization is …

In this paper, we investigated the overfitting characteristics of nonlinear equalizers based on
an artificial neural network (ANN) and the Volterra series transfer function (VSTF), which …

Hardware Realization of Nonlinear Activation Functions for NN-based Optical Equalizers
Page 1 Hardware Realization of Nonlinear Activation Functions for NN-based Optical …