Fiber nonlinearity compensation using extreme learning machine for DSP-based coherent communication systems

Thomas Shun Rong Shen; Pak Tao Lau

Fiber nonlinearity compensation using extreme learning machine for DSP-based coherent communication systems

Thomas Shun Rong Shen, Pak Tao Lau

The Hong Kong Polytechnic University

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

42 Citations (Scopus)

Abstract

Extreme learning machine (ELM) is proposed for compensation of impairments caused by fiber nonlinearity in coherent optical communication systems. Simulations show comparable compensation results to backpropagation (BP) while the computation complexity is significantly reduced.

Original language	English
Title of host publication	16th Opto-Electronics and Communications Conference, OECC 2011
Pages	816-817
Number of pages	2
Publication status	Published - 4 Oct 2011
Event	16th Opto-Electronics and Communications Conference, OECC 2011 - Kaohsiung, Taiwan Duration: 4 Jul 2011 → 8 Jul 2011

Conference

Conference	16th Opto-Electronics and Communications Conference, OECC 2011
Country/Territory	Taiwan
City	Kaohsiung
Period	4/07/11 → 8/07/11

ASJC Scopus subject areas

Computer Networks and Communications
Electrical and Electronic Engineering
Communication

Cite this

@inproceedings{cc5de1da79c148f68d9bbd85c93762f5,

title = "Fiber nonlinearity compensation using extreme learning machine for DSP-based coherent communication systems",

abstract = "Extreme learning machine (ELM) is proposed for compensation of impairments caused by fiber nonlinearity in coherent optical communication systems. Simulations show comparable compensation results to backpropagation (BP) while the computation complexity is significantly reduced.",

author = "Shen, {Thomas Shun Rong} and Lau, {Pak Tao}",

year = "2011",

month = oct,

day = "4",

language = "English",

isbn = "9781612842882",

pages = "816--817",

booktitle = "16th Opto-Electronics and Communications Conference, OECC 2011",

note = "16th Opto-Electronics and Communications Conference, OECC 2011 ; Conference date: 04-07-2011 Through 08-07-2011",

}

Fiber nonlinearity compensation using extreme learning machine for DSP-based coherent communication systems. / Shen, Thomas Shun Rong; Lau, Pak Tao.
16th Opto-Electronics and Communications Conference, OECC 2011. 2011. p. 816-817 6015387.

Research output: Chapter in book / Conference proceeding › Conference article published in proceeding or book › Academic research › peer-review

TY - GEN

T1 - Fiber nonlinearity compensation using extreme learning machine for DSP-based coherent communication systems

AU - Shen, Thomas Shun Rong

AU - Lau, Pak Tao

PY - 2011/10/4

Y1 - 2011/10/4

N2 - Extreme learning machine (ELM) is proposed for compensation of impairments caused by fiber nonlinearity in coherent optical communication systems. Simulations show comparable compensation results to backpropagation (BP) while the computation complexity is significantly reduced.

AB - Extreme learning machine (ELM) is proposed for compensation of impairments caused by fiber nonlinearity in coherent optical communication systems. Simulations show comparable compensation results to backpropagation (BP) while the computation complexity is significantly reduced.

UR - http://www.scopus.com/inward/record.url?scp=80053333723&partnerID=8YFLogxK

M3 - Conference article published in proceeding or book

SN - 9781612842882

SP - 816

EP - 817

BT - 16th Opto-Electronics and Communications Conference, OECC 2011

T2 - 16th Opto-Electronics and Communications Conference, OECC 2011

Y2 - 4 July 2011 through 8 July 2011

ER -

Fiber nonlinearity compensation using extreme learning machine for DSP-based coherent communication systems

Abstract

Conference

ASJC Scopus subject areas

Other files and links

Fingerprint

Cite this