Blind modulation format recognition for software-defined optical networks using image processing techniques

Tianwai Bo; Jin Tang; Calvin Chun Kit Chan

doi:10.1364/ofc.2016.th2a.31

Blind modulation format recognition for software-defined optical networks using image processing techniques

Tianwai Bo, Jin Tang, Calvin Chun Kit Chan

Chinese University of Hong Kong

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

21 Citations (Scopus)

Abstract

A novel modulation format recognition algorithm based on connected component analysis in binary image processing is proposed and verified by both simulation and experiment. It shows high accuracy and much reduced complexity than conventional clustering-based method.

Original language	English
Title of host publication	2016 Optical Fiber Communications Conference and Exhibition, OFC 2016
Publisher	Institute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)	9781943580071
DOIs	https://doi.org/10.1364/ofc.2016.th2a.31
Publication status	Published - 9 Aug 2016
Externally published	Yes
Event	2016 Optical Fiber Communications Conference and Exhibition, OFC 2016 - Anaheim, United States Duration: 20 Mar 2016 → 24 Mar 2016

Publication series

Name	2016 Optical Fiber Communications Conference and Exhibition, OFC 2016

Conference

Conference	2016 Optical Fiber Communications Conference and Exhibition, OFC 2016
Country/Territory	United States
City	Anaheim
Period	20/03/16 → 24/03/16

Access to Document

10.1364/ofc.2016.th2a.31

Cite this

Bo, T., Tang, J., & Chan, C. C. K. (2016). Blind modulation format recognition for software-defined optical networks using image processing techniques. In 2016 Optical Fiber Communications Conference and Exhibition, OFC 2016 Article 7537368 (2016 Optical Fiber Communications Conference and Exhibition, OFC 2016). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1364/ofc.2016.th2a.31

@inproceedings{1869fa38d0874f5f8abd753533a736fc,

title = "Blind modulation format recognition for software-defined optical networks using image processing techniques",

abstract = "A novel modulation format recognition algorithm based on connected component analysis in binary image processing is proposed and verified by both simulation and experiment. It shows high accuracy and much reduced complexity than conventional clustering-based method.",

author = "Tianwai Bo and Jin Tang and Chan, {Calvin Chun Kit}",

note = "Publisher Copyright: {\textcopyright} 2016 OSA.; 2016 Optical Fiber Communications Conference and Exhibition, OFC 2016 ; Conference date: 20-03-2016 Through 24-03-2016",

year = "2016",

month = aug,

day = "9",

doi = "10.1364/ofc.2016.th2a.31",

language = "English",

series = "2016 Optical Fiber Communications Conference and Exhibition, OFC 2016",

publisher = "Institute of Electrical and Electronics Engineers Inc.",

booktitle = "2016 Optical Fiber Communications Conference and Exhibition, OFC 2016",

address = "United States",

}

Bo, T, Tang, J & Chan, CCK 2016, Blind modulation format recognition for software-defined optical networks using image processing techniques. in 2016 Optical Fiber Communications Conference and Exhibition, OFC 2016., 7537368, 2016 Optical Fiber Communications Conference and Exhibition, OFC 2016, Institute of Electrical and Electronics Engineers Inc., 2016 Optical Fiber Communications Conference and Exhibition, OFC 2016, Anaheim, United States, 20/03/16. https://doi.org/10.1364/ofc.2016.th2a.31

Blind modulation format recognition for software-defined optical networks using image processing techniques. / Bo, Tianwai; Tang, Jin; Chan, Calvin Chun Kit.
2016 Optical Fiber Communications Conference and Exhibition, OFC 2016. Institute of Electrical and Electronics Engineers Inc., 2016. 7537368 (2016 Optical Fiber Communications Conference and Exhibition, OFC 2016).

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

TY - GEN

T1 - Blind modulation format recognition for software-defined optical networks using image processing techniques

AU - Bo, Tianwai

AU - Tang, Jin

AU - Chan, Calvin Chun Kit

PY - 2016/8/9

Y1 - 2016/8/9

N2 - A novel modulation format recognition algorithm based on connected component analysis in binary image processing is proposed and verified by both simulation and experiment. It shows high accuracy and much reduced complexity than conventional clustering-based method.

AB - A novel modulation format recognition algorithm based on connected component analysis in binary image processing is proposed and verified by both simulation and experiment. It shows high accuracy and much reduced complexity than conventional clustering-based method.

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U2 - 10.1364/ofc.2016.th2a.31

DO - 10.1364/ofc.2016.th2a.31

M3 - Conference contribution

AN - SCOPUS:84986188657

T3 - 2016 Optical Fiber Communications Conference and Exhibition, OFC 2016

BT - 2016 Optical Fiber Communications Conference and Exhibition, OFC 2016

PB - Institute of Electrical and Electronics Engineers Inc.

T2 - 2016 Optical Fiber Communications Conference and Exhibition, OFC 2016

Y2 - 20 March 2016 through 24 March 2016

ER -

Bo T, Tang J, Chan CCK. Blind modulation format recognition for software-defined optical networks using image processing techniques. In 2016 Optical Fiber Communications Conference and Exhibition, OFC 2016. Institute of Electrical and Electronics Engineers Inc. 2016. 7537368. (2016 Optical Fiber Communications Conference and Exhibition, OFC 2016). doi: 10.1364/ofc.2016.th2a.31

Blind modulation format recognition for software-defined optical networks using image processing techniques

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