Artificial neural networks for photonic applications—from algorithms to implementation: tutorial
This tutorial–review on applications of artificial neural networks in photonics targets a broad
audience, ranging from optical research and engineering communities to computer science …
audience, ranging from optical research and engineering communities to computer science …
Serial and parallel convolutional neural network schemes for NFDM signals
Two conceptual convolutional neural network (CNN) schemes are proposed, developed and
analysed for directly decoding nonlinear frequency division multiplexing (NFDM) signals …
analysed for directly decoding nonlinear frequency division multiplexing (NFDM) signals …
[HTML][HTML] Phase computation for the finite-genus solutions to the focusing nonlinear Schrödinger equation using convolutional neural networks
We develop a method for retrieving a set of parameters of a quasi-periodic finite-genus
(finite-gap) solution to the focusing nonlinear Schrödinger (NLS) equation, given the solution …
(finite-gap) solution to the focusing nonlinear Schrödinger (NLS) equation, given the solution …
Autoencoder assisted subcarrier optimization for nonlinear frequency division multiplexing
P Ge, L Xi, J Deng, J Wei, S Du, X Zhang - Optics Express, 2023 - opg.optica.org
Nonlinear frequency division multiplexing (NFDM) is a novel optical communication
technique that can achieve nonlinear free transmission. However, current design of NFDM is …
technique that can achieve nonlinear free transmission. However, current design of NFDM is …
Nonlinear Fourier transform receiver based on a time domain diffractive deep neural network
J Zhou, Q Hu, H Pu - Optics Express, 2022 - opg.optica.org
A diffractive deep neural network (D2NN) is proposed to distinguish the inverse nonlinear
Fourier transform (INFT) symbols. Different from other recently proposed D2NNs, the D2NN …
Fourier transform (INFT) symbols. Different from other recently proposed D2NNs, the D2NN …
Finite-Genus Solutions-based Optical Communication with the Riemann-Hilbert Problem Transmitter and a Convolutional Neural Network Receiver
S Bogdanov, D Shepelsky… - Journal of Lightwave …, 2024 - ieeexplore.ieee.org
In the study, we develop a new optical communication system based on the nonlinear
Fourier transform for generic (quasiperiodic) finite-genus solutions to the nonlinear …
Fourier transform for generic (quasiperiodic) finite-genus solutions to the nonlinear …
A neural network for forward and inverse nonlinear Fourier transforms for fibre optic communication
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 …
transforms, NFT and INFT respectively. We demonstrate the network's capability to perform …
Fiber-optic communications based on finite-genus solutions to the NLS with a convolutional neural network receiver
We present a novel fibre-optic transmission system based on the phase modulation via
nonlinear Fourier transform for finite-genus signals with no periodicity constraint, which is …
nonlinear Fourier transform for finite-genus signals with no periodicity constraint, which is …
Nonlinear Fourier analysis of matter-wave soliton interferometry
YJ Feng, ZY Sun, X Yu - Frontiers in Physics, 2023 - frontiersin.org
The bright solitons in quasi-1D atomic Bose-Einstein condensates are good candidates for
constructing matter-wave interferometers with high sensitivity and long phase-accumulation …
constructing matter-wave interferometers with high sensitivity and long phase-accumulation …
Machine Learning For Performance Improvement of Long-Haul End-to-End Optical Transmission Systems
E Sedov - 2023 - publications.aston.ac.uk
The thesis focuses on addressing the challenges faced by optical fiber networks in keeping
up with the growing demand for data transfer, especially with the advent of 5G/6G and the …
up with the growing demand for data transfer, especially with the advent of 5G/6G and the …