Joint Learning of Laser Relative Intensity and Frequency Noise from Single Experiment and Single Detected Quadrature

Research output: Chapter in Book/Report/Conference proceedingArticle in proceedingsResearchpeer-review

251 Downloads (Pure)

Abstract

Bayesian inference framework, that considers laser-physics, is proposed and demonstrated for joint learning of laser static and dynamic parameters. Proof-of-concept experimental results demonstrating the main concepts are presented as well.
Original languageEnglish
Title of host publicationProceedings of European Conference on Optical Communication
Number of pages3
PublisherIEEE
Publication date2018
ISBN (Print)9781538648629
DOIs
Publication statusPublished - 2018
Event44th European Conference on Optical Communication - Fiera Roma, Rome, Italy
Duration: 23 Sep 201827 Sep 2018

Conference

Conference44th European Conference on Optical Communication
LocationFiera Roma
CountryItaly
CityRome
Period23/09/201827/09/2018

Fingerprint Dive into the research topics of 'Joint Learning of Laser Relative Intensity and Frequency Noise from Single Experiment and Single Detected Quadrature'. Together they form a unique fingerprint.

Cite this