Stochastic and PWM coding for an efficient implementation of Cellular Neural Networks

dc.creator	Colodro Ruiz, Francisco	es
dc.creator	Torralba Silgado, Antonio Jesús	es
dc.creator	González Carvajal, Ramón	es
dc.creator	García Franquelo, Leopoldo	es
dc.date.accessioned	2015-03-26T08:28:28Z
dc.date.available	2015-03-26T08:28:28Z
dc.date.issued	1997	es
dc.identifier.uri	http://hdl.handle.net/11441/23593
dc.description.abstract	This paper present the application of Pulse Stream Tech-niques (PSTs) to the hardware implementation of a Cellular Neural Network. The time differential equation of this networks suggests that the dynamic of one neuron status can be emulated by adding discretized packets of charge to a capacitor. This task can be carried out by driving a current source with a pulse stream signal.	en
dc.format	application/pdf	es
dc.language.iso	eng	es
dc.relation.ispartof	Design of Circuits and Integrated Systems. Sevilla, España : DCIS	es
dc.rights	Attribution-NonCommercial-NoDerivatives 4.0 Internacional	es
dc.rights.uri	http://creativecommons.org/licenses/by-nc-nd/4.0/	es
dc.title	Stochastic and PWM coding for an efficient implementation of Cellular Neural Networks	en
dc.type	info:eu-repo/semantics/conferenceObject	es
dcterms.identifier	https://ror.org/03yxnpp24
dc.rights.accessRights	info:eu-repo/semantics/openAccess	es
dc.contributor.affiliation	Universidad de Sevilla. Departamento de Ingeniería Electrónica	es
dc.relation.publisherversion	10.13140/2.1.2876.5126
dc.identifier.idus	https://idus.us.es/xmlui/handle/11441/23593

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