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dc.contributor.authorSuárez, Marta-
dc.contributor.authorFernández-Berni, J.-
dc.contributor.authorCarmona-Galán, R.-
dc.contributor.authorCabello, D.-
dc.contributor.authorRodríguez-Vázquez, Ángel-
dc.date.accessioned2014-11-10T11:36:04Z-
dc.date.available2014-11-10T11:36:04Z-
dc.date.issued2014-
dc.identifier.citation14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA , 6888606 (2014)es_ES
dc.identifier.urihttp://hdl.handle.net/10261/104735-
dc.descriptionComunicación presentada en 2014 14th International Workshop on Cellular Nanoscale Networks and Their Applications, CNNA 2014; University of Notre DameNotre Dame; United States; 29 July 2014 through 31 July 2014;es_ES
dc.description.abstractThis paper addresses a CMOS vision sensor with 176 × 120 pixels in standard 0.18 μm CMOS technology that computes the Gaussian pyramid. The Gaussian pyramid is extracted with a double-Euler switched-capacitor network, giving RMSE errors below 1.2% of full-scale value. The chip provides a Gaussian pyramid of 3 octaves with 6 scales each with an energy cost of 26.5 nJ at 2.64 Mpx/s.es_ES
dc.language.isoenges_ES
dc.publisherInstitute of Electrical and Electronics Engineerses_ES
dc.relation.isversionofPostprintes_ES
dc.rightsopenAccesses_ES
dc.titleGaussian Pyramid Extraction with a CMOS Vision Sensores_ES
dc.typecomunicación de congresoes_ES
dc.identifier.doi10.1109/CNNA.2014.6888606-
dc.description.peerreviewedPeer reviewedes_ES
dc.relation.publisherversionhttp://dx.doi.org/10.1109/CNNA.2014.6888606es_ES
dc.relation.csices_ES
dc.type.coarhttp://purl.org/coar/resource_type/c_5794es_ES
item.openairetypecomunicación de congreso-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.grantfulltextopen-
item.fulltextWith Fulltext-
item.languageiso639-1en-
item.cerifentitytypePublications-
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