Design of a flattening filter using Fiber Bragg Gratings for EDFA gain equalization: an artificial neural network application

Design of a flattening filter using Fiber Bragg Gratings for EDFA gain equalization: an artificial neural network application

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This paper presents a proposal for the non-uniform gain compensation of an Erbium-doped fiber optic amplifier (EDFA) in a Wavelength Division Multiplexed (WDM) system using Fiber Bragg Gratings (FBG). In this proposal, the multilayer perceptron feed-forward artificial neural network with back...

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Bibliografiska uppgifter
Huvudupphovsmän: David Esteban Montoya Alba, Jhonatan Mcniven Cagua Herrera, Gustavo Adolfo Puerto Leguizam´ón
Materialtyp: Artikel
Språk:English
Publicerad: Editorial Neogranadina 2019-06-01
Serie:Ciencia e Ingeniería Neogranadina
Ämnen:
Artificial neural network
EDFA
flattening filter
Fiber Bragg Grating
Wavelength Division Multiplexing
Länkar:https://revistasunimilitareduco.biteca.online/index.php/rcin/article/view/3818

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https://revistasunimilitareduco.biteca.online/index.php/rcin/article/view/3818

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