Fiber-Optic Reservoir Computing for QAM-Signal Processing

Mariia Sorokina; Sergey Sergeyev; Sergei K. Turitsyn

doi:10.1109/ECOC.2018.8535475

Fiber-Optic Reservoir Computing for QAM-Signal Processing

Mariia Sorokina, Sergey Sergeyev, Sergei K. Turitsyn

Research output: Chapter in Book/Published conference output › Conference publication

9 Citations (Scopus)

137 Downloads (Pure)

Abstract

Here we propose a novel design of fiber-optic reservoir computing (FORC) and demonstrate it applicability for QAM-signal processing. The FORC enables over 5 dB improvement due to mitigating nonlinear distortions and supports high complexity QAM-formats.

Original language	English
Title of host publication	2018 European Conference on Optical Communication (ECOC)
Publisher	IEEE
ISBN (Electronic)	978-1-5386-4863-6
ISBN (Print)	978-1-5386-4862-9
DOIs	https://doi.org/10.1109/ECOC.2018.8535475
Publication status	Published - 15 Nov 2018
Event	2018 European Conference on Optical Communication (ECOC) - Rome, Italy Duration: 23 Sept 2018 → 27 Sept 2018

Conference

Conference	2018 European Conference on Optical Communication (ECOC)
Country/Territory	Italy
City	Rome
Period	23/09/18 → 27/09/18

Bibliographical note

© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

Access to Document

10.1109/ECOC.2018.8535475

Fiber-optic reservoir computing for QAM-Signal processing
© 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.
Accepted author manuscript, 1.72 MB

Cite this

@inproceedings{cca2b6871e194cb3992c365d0a8f04de,

title = "Fiber-Optic Reservoir Computing for QAM-Signal Processing",

abstract = "Here we propose a novel design of fiber-optic reservoir computing (FORC) and demonstrate it applicability for QAM-signal processing. The FORC enables over 5 dB improvement due to mitigating nonlinear distortions and supports high complexity QAM-formats.",

author = "Mariia Sorokina and Sergey Sergeyev and Turitsyn, {Sergei K.}",

note = "{\textcopyright} 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. ; 2018 European Conference on Optical Communication (ECOC) ; Conference date: 23-09-2018 Through 27-09-2018",

year = "2018",

month = nov,

day = "15",

doi = "10.1109/ECOC.2018.8535475",

language = "English",

isbn = "978-1-5386-4862-9",

booktitle = "2018 European Conference on Optical Communication (ECOC)",

publisher = "IEEE",

address = "United States",

}

TY - GEN

T1 - Fiber-Optic Reservoir Computing for QAM-Signal Processing

AU - Sorokina, Mariia

AU - Sergeyev, Sergey

AU - Turitsyn, Sergei K.

N1 - © 2018 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.

PY - 2018/11/15

Y1 - 2018/11/15

N2 - Here we propose a novel design of fiber-optic reservoir computing (FORC) and demonstrate it applicability for QAM-signal processing. The FORC enables over 5 dB improvement due to mitigating nonlinear distortions and supports high complexity QAM-formats.

AB - Here we propose a novel design of fiber-optic reservoir computing (FORC) and demonstrate it applicability for QAM-signal processing. The FORC enables over 5 dB improvement due to mitigating nonlinear distortions and supports high complexity QAM-formats.

UR - https://ieeexplore.ieee.org/document/8535475

U2 - 10.1109/ECOC.2018.8535475

DO - 10.1109/ECOC.2018.8535475

M3 - Conference publication

SN - 978-1-5386-4862-9

BT - 2018 European Conference on Optical Communication (ECOC)

PB - IEEE

T2 - 2018 European Conference on Optical Communication (ECOC)

Y2 - 23 September 2018 through 27 September 2018

ER -

Fiber-Optic Reservoir Computing for QAM-Signal Processing

Abstract

Conference

Bibliographical note

Access to Document

Other files and links

Fingerprint

Cite this