A Numerical Method for Frequency Determination in the Astable Cellular Neural Networks With Opposite-Sign Templates

dc.contributor.author Özmen, A.
dc.contributor.author Tander, B.
dc.date.accessioned 2023-10-19T15:05:29Z
dc.date.available 2023-10-19T15:05:29Z
dc.date.issued 2006
dc.description 2006 IEEE 14th Signal Processing and Communications Applications --17 April 2006 through 19 April 2006 --Antalya --69461 en_US
dc.description.abstract In this study, a numerical method is proposed to determine the oscillation frequencies in the astable cellular neural networks with opposite-sign templates [1]. This method depends on the training of a multilayer perceptron that uses various template coefficients and the correspondant frequency values as inputs and outputs. First of all, a frequency surface is obtained from templates and then, training samples are picked from this surface in order to apply to multilayer perceptron. The effects of the template coefficients to the oscillation frequencies are also investigated. Furthermore, an oscillator design is carried out for simulation and the performance as well as the advantages of the proposed method are evaluated. © 2006 IEEE. en_US
dc.identifier.doi 10.1109/SIU.2006.1659719 en_US
dc.identifier.isbn 1424402395
dc.identifier.isbn 9781424402397
dc.identifier.scopus 2-s2.0-34247118301 en_US
dc.identifier.uri https://doi.org/10.1109/SIU.2006.1659719
dc.identifier.uri https://hdl.handle.net/20.500.12469/4919
dc.language.iso tr en_US
dc.relation.ispartof 2006 IEEE 14th Signal Processing and Communications Applications Conference en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Oscillation frequencies en_US
dc.subject Template coefficients en_US
dc.subject Cellular neural networks en_US
dc.subject Computer simulation en_US
dc.subject Frequency estimation en_US
dc.subject Multilayer neural networks en_US
dc.subject Numerical methods en_US
dc.title A Numerical Method for Frequency Determination in the Astable Cellular Neural Networks With Opposite-Sign Templates en_US
dc.title.alternative Ters-i?saret Şablonlu Kararsiz Hücresel Si?ni?r A?larinda Frekans Tayi?ni? İ?çi?n Nümeri?k Bi?r Yöntem en_US
dc.type Conference Object en_US
dspace.entity.type Publication
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gdc.description.departmenttemp Özmen, A., Elektronik Mühendisli?i Bölümü, Kadir Has Üniversitesi, Istanbul, Turkey; Tander, B., Teknik Bilimler MYO, Kadir Has Üniversitesi, Istanbul, Turkey en_US
gdc.description.endpage 4
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.startpage 1
gdc.description.volume 2006 en_US
gdc.identifier.openalex W1602738335
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gdc.oaire.influence 2.7795113E-9
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gdc.oaire.keywords N/A
gdc.oaire.keywords Multilayer neural networks
gdc.oaire.keywords Template coefficients
gdc.oaire.keywords Cellular neural networks
gdc.oaire.keywords Frequency estimation
gdc.oaire.keywords Numerical methods
gdc.oaire.keywords Computer simulation
gdc.oaire.keywords Oscillation frequencies
gdc.oaire.popularity 3.836399E-10
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gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.virtual.author Özmen, Atilla
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