Iterative network models to predict the performance of Sierpinski fractal antennas and networks

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To access the full text documents, please follow this link: http://hdl.handle.net/2117/19352

dc.contributor	Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor.author	Borja, C.
dc.contributor.author	Puente Baliarda, Carles
dc.date	1999
dc.identifier.citation	Borja, C.; Puente, C. Iterative network models to predict the performance of Sierpinski fractal antennas and networks. A: IEEE International Symposium on Antennas and Propagation. "1999 IEEE International Symposium on Antennas and Propagation, vol. 1: proceedings: 11-16 July 1999, Orlando, FL, USA". Orlando, Florida: Institute of Electrical and Electronics Engineers (IEEE), 1999, p. 652-655.
dc.identifier.citation	0-7803-5639-X
dc.identifier.citation	10.1109/APS.1999.789223
dc.identifier.uri	http://hdl.handle.net/2117/19352
dc.language.iso	eng
dc.publisher	Institute of Electrical and Electronics Engineers (IEEE)
dc.relation	http://ieeexplore.ieee.org/xpls/abs_all.jsp?arnumber=789223
dc.rights	info:eu-repo/semantics/openAccess
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Antenes i agrupacions d'antenes
dc.subject	Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica
dc.subject	Antennas (Electronics)
dc.subject	Electromagnetic waves
dc.subject	Antenes (Electrònica)
dc.subject	Ones electromagnètiques
dc.title	Iterative network models to predict the performance of Sierpinski fractal antennas and networks
dc.type	info:eu-repo/semantics/publishedVersion
dc.type	info:eu-repo/semantics/conferenceObject
dc.description.abstract	Two simple, fast numerical models to predict the input parameters of antennas and networks whose topologies are that of the Sierpinski gasket and carpet fractal shape, are introduced. These models are based on the same recursive principle used to generate fractal structures.
dc.description.abstract	Peer Reviewed

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