The modeling and prediction of the ultrafast nonlinear dynamics in the optical fiber are
essential for the studies of laser design, experimental optimization, and other fundamental …

In this work, we demonstrate the offline FPGA realization of both recurrent and feedforward
neural network (NN)-based equalizers for nonlinearity compensation in coherent optical …

We consider time-domain digital backpropagation with chromatic dispersion filters jointly
optimized and quantized using machine-learning techniques. Compared to the baseline …

We experimentally assess the performance versus complexity tradeoff of advanced split-step
and Volterra-based digital backpropagation (DBP) techniques, applied to a WDM (75-GHz …

We leverage the attention mechanism to investigate and comprehend the contribution of
each input symbol of the input sequence and their hidden representations for predicting the …

In order to cope with the foreseeable capacity crunch next-generation optical transmission
systems aim to utilize higher order quadrature amplitude modulation formats to achieve …

Digital back propagation (DBP) is often proposed and implemented offline for the mitigation
of nonlinear impairments in long-haul fiber communications. However, complexity in terms of …

Nonlinear Equalization in Long Haul Transmission Systems Using Dynamic Multi-Layer
Perceptron Networks Page 1 Nonlinear Equalization in Long Haul Transmission Systems …

Digital signal pre-processing at the transmitter is a key enabler for next-generation optical
transceivers. One of the major challenges faced by these transponders is the limited …

Transfer learning (TL) has been demonstrated its feasibility on fast remodeling for fiber
nonlinearity equalization. It will be very efficient with fine-tuning rather than retraining when …