Artificial neural networks for photonic applications—from algorithms to implementation: tutorial

P Freire, E Manuylovich, JE Prilepsky… - Advances in Optics and …, 2023 - opg.optica.org
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 …

Ultra-low complexity random forest for optical fiber communications

C Li, Y Wang, H Yao, L Yang, X Liu, X Huang, X Xin - Optics Express, 2023 - opg.optica.org
In this paper, we present an efficient equalizer based on random forest for channel
equalization in optical fiber communication systems. The results are experimentally …

Low-Complexity Pruned Convolutional Neural Network Based Nonlinear Equalizer in Coherent Optical Communication Systems

X Liu, C Li, Z Jiang, L Han - Electronics, 2023 - mdpi.com
Nonlinear impairments caused by devices and fiber transmission links in a coherent optical
communication system can severely limit its transmission distance and achievable capacity …

Improved DBSCAN algorithm based signal recovery technology in coherent optical communication systems

X Huang, Y Wang, C Li, H Xu, Q Zhang, L Yang… - Optics …, 2022 - Elsevier
Signal recovery technology based on an improved density-based spatial clustering of
applications with a noise algorithm is proposed for coherent optical communication systems …

Nonlinear impairment compensation using transfer learning-assisted convolutional bidirectional long short-term memory neural network for coherent optical …

X Luo, C Bai, X Chi, H Xu, Y Fan, L Yang, P Qin… - Photonics, 2022 - mdpi.com
By combining the nonlinear impairment features derived from the first-order perturbation
theory, we propose a nonlinear impairment compensation (NLC) scheme based on the …

Deep-learning-enabled Direct Detection with Reduced Computational Complexity and High Electrical-spectral-efficiency

X Li, J Li, S An, H Liu, W Shieh… - Journal of Lightwave …, 2023 - ieeexplore.ieee.org
Complex-valued double-sideband (CV-DSB) direct detection (DD) is a promising solution for
high capacity and cost-sensitive data center interconnects, since it can reconstruct the …

High-accuracy 3D contour measurement by using the quaternion wavelet transform image denoising technique

L Fan, Y Wang, H Zhang, C Li, X Xin - Electronics, 2022 - mdpi.com
In this paper, we propose an image denoising algorithm based on the quaternion wavelet
transform (QWT) to address sinusoidal fringe images under strong noise in structured light …

Learning for perturbation-based fiber nonlinearity compensation

S Luo, SKO Soman, L Lampe, J Mitra… - European Conference and …, 2022 - opg.optica.org
Several machine learning inspired methods for perturbation-based fiber n onlinearity
(PBNLC) compensation have been presented in recent literature. We critically revisit …

Fast fiber nonlinearity compensation method for PDM coherent optical transmission systems based on the Fourier neural operator

J Huang, A Yi, L Yan, X He, L Jiang, H Yang, B Luo… - Optics …, 2024 - opg.optica.org
Fiber nonlinearity compensation (NLC) is likely to become an indispensable component of
coherent optical transmission systems for extending the transmission reach and increasing …

Complex principal component analysis-based complex-valued fully connected NN equalizer for optical fibre communications

X Huang, Y Wang, C Li, R Gao, Q Zhang, L Han… - Optics …, 2023 - opg.optica.org
An increasing number of scholars have proposed many schemes to mitigate the Kerr
nonlinearity effect restricting the transmission capacity of optical fibres. In this paper, we …