We propose a modification of the conventional perturbation-based approach of fiber
nonlinearity compensation that enables straight-forward implementation at the receiver and …

A scheme is proposed for processing optical signals in a receiver of a communication
system, based on complex fully connected neural networks. The influence of the main …

A scheme for compensation of nonlinear effects in multichannel data transfer systems based
on dynamic neural networks is proposed. An improved quality of optical signal transfer in …

A scheme for optical signal processing in a multimode communication receiver based on
deep convolutional neural networks and simulating the digital back propagation algorithm is …

In this paper, we propose a promising nonlinear noise power estimation method based on
correlation functions using artificial neural networks (ANN), which is robust against both …

В статье исследуется метод компенсации внутриканальных и межканальных
нелинейных искажений оптического сигнала для волоконных систем связи со …

We discuss the design issues and characteristics of coherent fibre-optic communication
networks taking into account the many physical effects that simultaneously influence signal …

We report on the use of complex quadrature amplitude signal processing methods based on
a combination of static neural networks and special modulation techniques. The conditions …

In classical recurrent neural networks, the pre-and post-relationships of time series tend to
be neglected so that long-term overall memory is generally inaccessible; meanwhile, the …

В настоящее время в волоконно-оптических линиях связи проблема преодоления
ограничений, обусловленных нелинейными воздействиями, попрежнему является …