Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Machine learning for self-tuning optical systems

Not Accessible

Your library or personal account may give you access

Abstract

We demonstrate that emerging innovations in machine learning and adaptive control provides an ideal integration platform for self-tuning optics. We show they can achieve self-tuning and near-optimal performance in mode-locked lasers.

© 2019 The Author(s)

PDF Article
More Like This
Self-tuning fiber lasers: machine learning applied to optical systems

J. Nathan Kutz, Xing Fu, and Steven Brunton
NTu4A.7 Nonlinear Photonics (NP) 2014

Machine Learning Methods for Optical Communication Systems

Faisal Nadeem Khan, Chao Lu, and Alan Pak Tao Lau
SpW2F.3 Signal Processing in Photonic Communications (SPPCom) 2017

Machine-learning-based Coherent Optical Communication System

Wei Chen, Junfeng Zhang, Mingyi Gao, Yang Ye, Xiaoyi Chen, and Bowen Chen
M3G.6 Asia Communications and Photonics Conference (ACP) 2017

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All Rights Reserved