عرض سجل المادة البسيط

dc.contributor.author احمد, هتهات
dc.date.accessioned 2019-01-29T09:00:11Z
dc.date.available 2019-01-29T09:00:11Z
dc.date.issued 2011-04-26
dc.identifier.uri http://dspace.univ-djelfa.dz:8080/xmlui/handle/123456789/1275
dc.description.abstract In this thesis, we present two new methods for the design of microstrip filters based on artificial intelligence techniques. After a theoretical study on functions of filtering ,microstrip structure and the technical design of microstrip filters, we applied the genetic algorithm and particle swarm optimization to the design of two types of microstrip filters : a lowpass filter with stepped impedance and a bandpass filtre with resonators coupled in parallel. The lowpass filter designed by the two procedures developed is more efficient than the Butterworth filter. The bandpass filter designed by our procedures is validated by the literature scientific. Both methods are effective for the design of microstrip filters. en_EN
dc.language.iso fr en_EN
dc.publisher جامعة الجلفة en_EN
dc.subject microstrip filters, artificial intelligence, filtering function, genetic algorithm, particle swarm optimization, stepped impedance, resonators coupled in parallel. en_EN
dc.title Etude des techniques de conception des filtres micro-ondes en_EN
dc.title.alternative Etude des techniques de conception des filtres micro-ondes en_EN
dc.type Thesis en_EN


الملفات في هذه المادة

هذه المادة تظهر في الحاويات التالية

عرض سجل المادة البسيط

بحث دي سبيس


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