Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group
  • 2021 Conference on Lasers and Electro-Optics Europe and European Quantum Electronics Conference
  • OSA Technical Digest (Optica Publishing Group, 2021),
  • paper jsiv_2_3

Full characterization of partially measured systems with neural networks

Not Accessible

Your library or personal account may give you access

Abstract

We propose a method based on neural networks to characterize a complex optical system from intensity-only measurements. The characterization involves learning the forward and backward mappings of the system that can be subsequently used to project or image arbitrary patterns.

© 2021 IEEE

PDF Article
More Like This
Multimode fiber projection with machine learning

Babak Rahmani, Damien Loterie, Eirini Kakkava, Navid Borhani, Ugur Tegin, Demetri Psaltis, and Christophe Moser
HTu5B.3 Digital Holography and Three-Dimensional Imaging (DH) 2020

Complex Exponential Neural Network for Optical System

Zibo Hu, Maria Solyanik-Gorgone, and Volker J Sorger
Tu3C.4 Photonics in Switching and Computing (PS) 2021

Linear and Nonlinear Physical Effects in Optical Fiber Revealed from the Perspective of Deep Neural Networks

Xiaotian Jiang, Danshi Wang, and Min Zhang
T4A.81 Asia Communications and Photonics Conference (ACP) 2021

Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.