We evaluate improvement in the performance of the optical transmission systems operating with the continuous nonlinear Fourier spectrum by the artificial neural network equalisers …
WQ Zhang, TH Chan, SA Vahid - Scientific reports, 2022 - nature.com
Two conceptual convolutional neural network (CNN) schemes are proposed, developed and analysed for directly decoding nonlinear frequency division multiplexing (NFDM) signals …
Following the rise in interest in transmission systems employing the nonlinear Fourier transform (NFT) for the nonlinearity mitigation, we present the theoretical analysis of the …
We consider optical transmission systems based on the nonlinear frequency division multiplexing (NFDM) concept, ie, the systems employing the nonlinear Fourier transform …
WQ Zhang, TH Chan, S Afshar V - Optics Express, 2021 - opg.optica.org
Nonlinear Fourier transform, as a technique that has a great potential to overcome the capacity limit in fibre optical communication system, faces speed and accuracy bottlenecks …
A neural network architecture is proposed that allows a continuous nonlinear spectrum of optical signals to be predicted and an inverse nonlinear Fourier transform (NFT) to be …
The nonlinear frequency division multiplexing (NFDM) transmission scheme continues to attract high interests in optical communications due to its robustness against nonlinearity …
The nonlinear Fourier transform (NFT) based signal processing has attracted considerable attention as a promising tool for fibre nonlinearity mitigation in optical transmission …
We propose a neural network for both forward and inverse continuous nonlinear Fourier transforms, NFT and INFT respectively. We demonstrate the network's capability to perform …