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dc.date.accessioned 2012-11-08T14:19:49Z
dc.date.available 2012-11-08T14:19:49Z
dc.date.issued 2006-08
dc.identifier.uri http://sedici.unlp.edu.ar/handle/10915/23876
dc.description.abstract This paper presents a time-delayed neural network (TDNN) model that has the capability of learning and predicting the dynamic behavior of nonlinear elements that compose a wireless communication system. This model could help speeding up system deployment by reducing modeling time. This paper presents results of effective application of the TDNN model to an amplifier, part of a wireless transmitter. en
dc.language en es
dc.subject Neural nets es
dc.subject time-delayed neural network (TDNN) en
dc.subject nonlinear elements en
dc.subject Wireless communication es
dc.title Neural networks applied to wireless communications en
dc.type Objeto de conferencia es
sedici.identifier.isbn 0-387-34654-6 es
sedici.creator.person Stegmayer Machado, Georgina S. es
sedici.creator.person Chiotti, Omar Juan Alfredo es
sedici.description.note IFIP International Conference on Artificial Intelligence in Theory and Practice - Neural Nets es
sedici.subject.materias Ciencias Informáticas es
sedici.description.fulltext true es
mods.originInfo.place Red de Universidades con Carreras en Informática (RedUNCI) es
sedici.subtype Objeto de conferencia es
sedici.rights.license Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)
sedici.rights.uri http://creativecommons.org/licenses/by-nc-sa/2.5/ar/
sedici.date.exposure 2006-08
sedici.relation.event 19 th IFIP World Computer Congress - WCC 2006 es
sedici.description.peerReview peer-review es


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Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5) Excepto donde se diga explícitamente, este item se publica bajo la siguiente licencia Creative Commons Attribution-NonCommercial-ShareAlike 2.5 Argentina (CC BY-NC-SA 2.5)