Analytical approaches for the amplitude and frequency computations in the astable cellular neural networks with opposite sign templates

dc.contributor.author Tander, B.
dc.contributor.author Özmen, A.
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 2023-10-19T15:05:30Z
dc.date.available 2023-10-19T15:05:30Z
dc.date.issued 2007
dc.description 2007 IEEE 15th Signal Processing and Communications Applications, SIU --11 June 2007 through 13 June 2007 --Eskisehir --73089 en_US
dc.description.abstract In this paper, by using surface fitting methods, analytical approaches for amplitudes and frequencies of the x1,2(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 2
dc.identifier.doi 10.1109/SIU.2007.4298648 en_US
dc.identifier.isbn 1424407192
dc.identifier.isbn 9781424407194
dc.identifier.scopus 2-s2.0-50249150333 en_US
dc.identifier.uri https://doi.org/10.1109/SIU.2007.4298648
dc.identifier.uri https://hdl.handle.net/20.500.12469/4920
dc.khas 20231019-Scopus en_US
dc.language.iso tr en_US
dc.relation.ispartof 2007 IEEE 15th Signal Processing and Communications Applications, SIU en_US
dc.rights info:eu-repo/semantics/closedAccess en_US
dc.subject Analytical approaches en_US
dc.subject Frequency computations en_US
dc.subject Surface fitting methods en_US
dc.subject Artificial intelligence en_US
dc.subject Cellular neural networks en_US
dc.subject Curve fitting en_US
dc.subject Signal processing en_US
dc.subject Neural networks 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.title.alternative Ters i?şaret şablonlu kararsiz hücresel si?ni?r a?larinda genli?k ve frekans hesaplari i?Çl?N anali?ti?k yaklaşimlar en_US
dc.type Conference Object en_US
dspace.entity.type Publication
gdc.author.institutional Özmen, Atilla
gdc.author.scopusid 35606864300
gdc.author.scopusid 55364715200
gdc.bip.impulseclass C5
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gdc.coar.access metadata only access
gdc.coar.type text::conference output
gdc.description.departmenttemp Tander, B., Teknik Bilimler MYO, Kadir Has Üniversitesi, Istanbul, Turkey; Özmen, A., Elektronik Mühendisligi Bölümü, Kadir Has Üniversitesi, Istanbul, Turkey en_US
gdc.description.endpage 4
gdc.description.publicationcategory Konferans Öğesi - Uluslararası - Kurum Öğretim Elemanı en_US
gdc.description.scopusquality N/A
gdc.description.startpage 1
gdc.description.wosquality N/A
gdc.identifier.openalex W1980290119
gdc.oaire.diamondjournal false
gdc.oaire.impulse 0.0
gdc.oaire.influence 2.8721618E-9
gdc.oaire.isgreen true
gdc.oaire.keywords Frequency computations
gdc.oaire.keywords Signal processing
gdc.oaire.keywords Artificial intelligence
gdc.oaire.keywords Analytical approaches
gdc.oaire.keywords Curve fitting
gdc.oaire.keywords Cellular neural networks
gdc.oaire.keywords Stability
gdc.oaire.keywords Surface fitting methods
gdc.oaire.keywords Neural networks
gdc.oaire.popularity 4.1383572E-10
gdc.oaire.publicfunded false
gdc.oaire.sciencefields 0202 electrical engineering, electronic engineering, information engineering
gdc.oaire.sciencefields 02 engineering and technology
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gdc.openalex.normalizedpercentile 0.44
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