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...

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Detalles Bibliográficos
Autor principal:	Bogoni, A. (auth)
Otros Autores:	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)
Formato:	Electrónico Capítulo de libro
Lenguaje:	inglés
Publicado:	InTechOpen 2020
Materias:	Computing & information technology nonlinear phase noise, clustering, Voronoi, decision boundary
Acceso en línea:	DOAB: download the publication DOAB: description of the publication
Etiquetas:	Agregar Etiqueta Sin Etiquetas, Sea el primero en etiquetar este registro!

Chapter Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems por Bogoni, A.

Publicado 2020

OAPEN Library: download the publication
OAPEN Library: description of the publication

Electrónico Capítulo de libro

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

Chapter Machine Learning Techniques to Mitigate Nonlinear Phase Noise in Moderate Baud Rate Optical Communication Systems por Bogoni, A.

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