Peak detection of spectrally-overlapped fiber bragg gratings using an unsupervised convolutional neural network autoencoder

Thesis
Peak detection of spectrally-overlapped fiber bragg gratings using an unsupervised convolutional neural network autoencoder

dc.contributor.department	Departamento de Electrónica
dc.contributor.guia	Soto Hernández, Marcelo Alfonso
dc.coverage.spatial	Campus Casa Central Valparaíso
dc.creator	Rudloff Barison, Gabriel Ignacio
dc.date.accessioned	2024-09-25T14:12:27Z
dc.date.available	2024-09-25T14:12:27Z
dc.date.issued	2023-03
dc.description.degree	INGENIERO CIVIL ELECTRÓNICO
dc.description.degree	MAGISTER EN CIENCIAS DE LA INGENIERIA ELECTRONICA
dc.description.program	DEPARTAMENTO DE ELECTRÓNICA. INGENIERÍA CIVIL ELECTRÓNICA
dc.description.program	DEPARTAMENTO DE ELECTRÓNICA. MAGÍSTER EN CIENCIAS DE LA INGENIERÍA ELECTRÓNICA (MS)
dc.identifier.barcode	191534387UTFSM
dc.identifier.uri	https://repositorio.usm.cl/handle/123456789/6675
dc.identifier.uri	https://doi.org/10.71700/dspace-memorias/2236
dc.rights.accessRights	info:eu-repo/semantics/openAccess
dc.subject	FIBER BRAGG GRATING
dc.subject	AUTOENCODER
dc.title	Peak detection of spectrally-overlapped fiber bragg gratings using an unsupervised convolutional neural network autoencoder
dspace.entity.type	Tesis

Now showing 1 - 1 of 1