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

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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

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10.1109/ECOC.2018.8535269

ECOC 2018 ZibarAccepted author manuscript, 379 KB

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@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

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