Analytical Approaches for the Amplitude and Frequency Computations in the Astable Cellular Neural Networks With Opposite Sign Templates

gdc.relation.journal 2007 IEEE 15th Sıgnal Processıng and Communıcatıons Applıcatıons, Vols 1-3 en_US
dc.contributor.author Tander, Baran
dc.contributor.author Özmen, Atilla
dc.contributor.other Computer Engineering
dc.contributor.other Electrical-Electronics Engineering
dc.contributor.other 05. Faculty of Engineering and Natural Sciences
dc.contributor.other 01. Kadir Has University
dc.date.accessioned 2021-02-20T19:52:36Z
dc.date.available 2021-02-20T19:52:36Z
dc.date.issued 2007
dc.description.abstract In this paper, by using surface fitting methods, analytical approaches for amplitudes and frequencies of the x(1,2)(t) "States" in a simple dynamical neural network called "Cellular Neural Network with Opposite Sign Templates" which was proposed by Zou and Nossek [1], are obtained under oscillation conditions. The mentioned explicit expressions are employed in a cellular neural network based, amplitude and frequency tuneable oscillator design. en_US
dc.identifier.citationcount 0
dc.identifier.isbn 978-1-4244-0719-4
dc.identifier.uri https://hdl.handle.net/20.500.12469/3979
dc.language.iso tr en_US
dc.publisher IEEE en_US
dc.rights info:eu-repo/semantics/openAccess en_US
dc.subject Stability en_US
dc.title Analytical Approaches for the Amplitude and Frequency Computations in the Astable Cellular Neural Networks With Opposite Sign Templates en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.institutional Tander, Baran en_US
gdc.author.institutional Tander, Baran
gdc.author.institutional Özmen, Atilla
gdc.coar.access open access
gdc.coar.type text::conference output
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.startpage 696 en_US
gdc.identifier.wos WOS:000252924600174 en_US
gdc.wos.citedcount 0
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