Applications of expectation maximization algorithm for coherent optical communication

L. Carvalho; J. Oliveira; Darko Zibar; O. Winther; Robert Borkowski; Idelfonso  Tafur Monroy

Applications of expectation maximization algorithm for coherent optical communication

L. Carvalho (Invited author), J. Oliveira (Invited author), Darko Zibar (Invited author), O. Winther (Invited author), Robert Borkowski (Invited author), Idelfonso Tafur Monroy (Invited author)

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Abstract

In this invited paper, we present powerful statistical signal processing methods, used by machine learning community, and link them to current problems in optical communication. In particular, we will look into iterative maximum likelihood parameter estimation based on expectation maximization algorithm and its application in coherent optical communication systems for linear and nonlinear impairment mitigation. Furthermore, the estimated parameters are used to build the probabilistic model of the system for the synthetic impairment generation.

Original language	English
Title of host publication	Proceedings of the 22nd European Signal Processing Conference (EUSIPCO)
Publication date	2014
Pages	1890-1894
ISBN (Print)	9780992862619
Publication status	Published - 2014

Series	Proceedings of the European Signal Processing Conference
ISSN	2076-1465

Keywords

Signal Processing and Analysis
Abstracts
Communities
expectation maximization
machine learning
nonlinear impairments
optical communication
Optical modulation
Optical polarization
Optical sensors

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title = "Applications of expectation maximization algorithm for coherent optical communication",

abstract = "In this invited paper, we present powerful statistical signal processing methods, used by machine learning community, and link them to current problems in optical communication. In particular, we will look into iterative maximum likelihood parameter estimation based on expectation maximization algorithm and its application in coherent optical communication systems for linear and nonlinear impairment mitigation. Furthermore, the estimated parameters are used to build the probabilistic model of the system for the synthetic impairment generation.",

keywords = "Signal Processing and Analysis, Abstracts, Communities, expectation maximization, machine learning, nonlinear impairments, optical communication, Optical modulation, Optical polarization, Optical sensors",

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Applications of expectation maximization algorithm for coherent optical communication. / Carvalho, L. (Invited author); Oliveira, J. (Invited author); Zibar, Darko (Invited author) et al.
Proceedings of the 22nd European Signal Processing Conference (EUSIPCO). 2014. p. 1890-1894 (Proceedings of the European Signal Processing Conference).

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

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AU - Winther, O.

AU - Borkowski, Robert

AU - Tafur Monroy, Idelfonso

PY - 2014

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KW - Communities

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KW - machine learning

KW - nonlinear impairments

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KW - Optical modulation

KW - Optical polarization

KW - Optical sensors

M3 - Article in proceedings

SN - 9780992862619

T3 - Proceedings of the European Signal Processing Conference

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BT - Proceedings of the 22nd European Signal Processing Conference (EUSIPCO)

ER -

Applications of expectation maximization algorithm for coherent optical communication

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Keywords

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