Compensating atmospheric turbulence with convolutional neural networks for defocused pupil image wave-front sensors

dc.contributor.author	Suárez Gómez, Sergio Luis
dc.contributor.author	González Gutiérrez, Carlos
dc.contributor.author	Díez Alonso, Enrique
dc.contributor.author	Santos Rodríguez, Jesús Daniel
dc.contributor.author	Bonavera, Laura
dc.contributor.author	Fernández Valdivia, J. J.
dc.contributor.author	Rodríguez Ramos, J. M.
dc.contributor.author	Rodríguez Ramos, L. F.
dc.date.accessioned	2018-11-27T08:04:06Z
dc.date.available	2018-11-27T08:04:06Z
dc.date.issued	2018
dc.identifier.isbn	9783319926384
dc.identifier.issn	0302-9743
dc.identifier.uri	http://hdl.handle.net/10651/49499
dc.format.extent	p. 411-421
dc.language.iso	eng
dc.relation.ispartof	Hybrid Artificial Intelligent Systems. HAIS 2018
dc.relation.ispartofseries	Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); 10870
dc.rights	©,
dc.source	Scopus
dc.source.uri	https://www.scopus.com/inward/record.uri?eid=2-s2.0-85048870718&doi=10.1007%2f978-3-319-92639-1_34&partnerID=40&md5=4ea6e2832d7b40ba39ace9a152306022
dc.title	Compensating atmospheric turbulence with convolutional neural networks for defocused pupil image wave-front sensors
dc.type	conference output	spa
dc.identifier.doi	10.1007/978-3-319-92639-1_34
dc.relation.publisherversion	http://dx.doi.org/10.1007/978-3-319-92639-1_34

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