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

Giovanni Brajato; Darko Zibar

doi:10.1109/ECOC.2018.8535269

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

Giovanni Brajato, Darko Zibar

Centre of Excellence for Silicon Photonics for Optical Communications

Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review

352 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 language	English
Title of host publication	Proceedings of European Conference on Optical Communication
Number of pages	3
Publisher	IEEE
Publication date	2018
ISBN (Print)	9781538648629
DOIs	https://doi.org/10.1109/ECOC.2018.8535269
Publication status	Published - 2018
Event	44th European Conference on Optical Communication - Fiera Roma, Rome, Italy Duration: 23 Sept 2018 → 27 Sept 2018

Conference

Conference	44th European Conference on Optical Communication
Location	Fiera Roma
Country/Territory	Italy
City	Rome
Period	23/09/2018 → 27/09/2018

Access to Document

10.1109/ECOC.2018.8535269

ECOC 2018 ZibarAccepted author manuscript, 379 KB

OpenUrl availability

Full text

Cite this

@inproceedings{80d4b4f8edba4b338ef6cd87a74f3a39,

title = "Joint Learning of Laser Relative Intensity and Frequency Noise from Single Experiment and Single Detected Quadrature",

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.",

author = "Giovanni Brajato and Darko Zibar",

year = "2018",

doi = "10.1109/ECOC.2018.8535269",

language = "English",

isbn = "9781538648629",

booktitle = "Proceedings of European Conference on Optical Communication",

publisher = "IEEE",

address = "United States",

note = "44th European Conference on Optical Communication, ECOC 2018 ; Conference date: 23-09-2018 Through 27-09-2018",

}

TY - GEN

T1 - Joint Learning of Laser Relative Intensity and Frequency Noise from Single Experiment and Single Detected Quadrature

AU - Brajato, Giovanni

AU - Zibar, Darko

PY - 2018

Y1 - 2018

N2 - 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.

AB - 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.

U2 - 10.1109/ECOC.2018.8535269

DO - 10.1109/ECOC.2018.8535269

M3 - Article in proceedings

SN - 9781538648629

BT - Proceedings of European Conference on Optical Communication

PB - IEEE

T2 - 44th European Conference on Optical Communication

Y2 - 23 September 2018 through 27 September 2018

ER -

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

Abstract

Conference

Access to Document

OpenUrl availability

Fingerprint

Cite this