Applications of expectation maximization algorithm for coherent optical communication

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

Onderzoeksoutput: Hoofdstuk in Boek/Rapport/CongresprocedureConferentiebijdrageAcademicpeer review

2 Citaten (Scopus)

Samenvatting

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.
Originele taal-2Engels
Titel22nd European Signal Processing Conference (EUSIPCO)
Plaats van productiePiscataway
UitgeverijInstitute of Electrical and Electronics Engineers
Pagina's1890-1894
Aantal pagina's5
ISBN van elektronische versie978-0-9928-6261-9
StatusGepubliceerd - 2014
Extern gepubliceerdJa
Evenement2014 22nd European Signal Processing Conference (EUSIPCO) - Lisbon, Portugal
Duur: 1 sep 20145 sep 2014

Congres

Congres2014 22nd European Signal Processing Conference (EUSIPCO)
LandPortugal
StadLisbon
Periode1/09/145/09/14

Trefwoorden

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

Vingerafdruk Duik in de onderzoeksthema's van 'Applications of expectation maximization algorithm for coherent optical communication'. Samen vormen ze een unieke vingerafdruk.

Citeer dit