Abstract

We have designed a CNN model to detect Bragg wavelengths in overlapping spectra. The mean RMS error of 0.123pm and mean testing time of 12.4ms are achieved, which outperforms most of the existing techniques.

© 2020 The Author(s)

PDF Article
More Like This
Accelerating TDECQ Assessments using Convolutional Neural Networks

Siddharth Varughese, Daniel A. Garon, Alirio Melgar, Varghese A. Thomas, Pavel Zivny, Shane Hazzard, and Stephen E. Ralph
W4F.4 Optical Fiber Communication Conference (OFC) 2020

Convolutional Neural Network Equalizer for Short-reach Optical Communication Systems

Jing Zhang, Lianshan Yan, Lin Jiang, Anlin Yi, Yan Pan, Wei Pan, and Bin Luo
M4A.320 Asia Communications and Photonics Conference (ACPC) 2020

Convolutional Neural Networks Applied to Inline Particle Holography

Marcus Hedlund, Caroline Holmstrom, Elliot Harenby Deak, Robert Olsson, Mikael Sjodahl, and Johan Ohman
JW2A.15 3D Image Acquisition and Display: Technology, Perception and Applications (3D) 2020

References

You do not have subscription access to this journal. Citation lists with outbound citation links are available to subscribers only. You may subscribe either as an Optica member, or as an authorized user of your institution.

Contact your librarian or system administrator
or
Login to access Optica Member Subscription