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 …

Computational complexity evaluation of neural network applications in signal processing

P Freire, S Srivallapanondh, A Napoli… - ar** low-complexity neural network
(NN) based equalizers to address impairments in high-speed coherent optical transmission …

Deep neural network-aided soft-demap** in coherent optical systems: Regression versus classification

PJ Freire, JE Prilepsky, Y Osadchuk… - IEEE Transactions …, 2022 - ieeexplore.ieee.org
We examine here what type of predictive modelling, classification, or regression, using
neural networks (NN), fits better the task of soft-demap** based post-processing in …

Artificial intelligence and machine learning<? TeX\break?> in optics: tutorial

K Yadav, S Bidnyk, A Balakrishnan - Journal of the Optical Society of …, 2024 - opg.optica.org
Across the spectrum of scientific inquiry and practical applications, the emergence of
artificial intelligence (AI) and machine learning (ML) has comprehensively revolutionized …

400 Gbit/s 4 mode transmission for IM/DD OAM mode division multiplexing optical fiber communication with a few-shot learning-based AffinityNet nonlinear equalizer

F Wang, R Gao, Z Li, J Liu, Y Cui, Q Xu, X Pan… - Optics …, 2023 - opg.optica.org
Nonlinear impairment in a high-speed orbital angular momentum (OAM) mode-division
multiplexing (MDM) optical fiber communication system presents high complexity and strong …

Implementing neural network-based equalizers in a coherent optical transmission system using field-programmable gate arrays

PJ Freire, S Srivallapanondh, M Anderson… - Journal of Lightwave …, 2023 - opg.optica.org
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 …