Chapter Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems

Nonlinear phase noise (NLPN) is the most common impairment that degrades the performance of radio-over-fiber networks. The effect of NLPN in the constellation diagram consists of a shape distortion of symbols that increases the symbol error rate due to symbol overlapping when using a conventional de...

Volledige beschrijving

Bewaard in:

Bibliografische gegevens
Hoofdauteur:	Bogoni, A. (auth)
Andere auteurs:	Fern&#225, o (auth), ndez, E. (auth), C&#225, a (auth), rdenas Soto, A. (auth), Guerrero Gonzalez, N. (auth), Serafino, G. (auth), Ghelfi, P. (auth)
Formaat:	Elektronisch Hoofdstuk
Taal:	Engels
Gepubliceerd in:	InTechOpen 2020
Onderwerpen:	Computing & information technology nonlinear phase noise, clustering, Voronoi, decision boundary
Online toegang:	DOAB: download the publication DOAB: description of the publication
Tags:	Voeg label toe Geen labels, Wees de eerste die dit record labelt!

Internet

DOAB: download the publication
DOAB: description of the publication

3rd Floor Main Library

Exemplaargegevens van 3rd Floor Main Library
Plaatsingsnummer:	A1234.567
Kopie 1	Beschikbaar

Chapter Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems

Internet

3rd Floor Main Library

Gelijkaardige items