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Омский научный вестник
Article . 2015
Data sources: CyberLeninka - Russian open access scientific library
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Усовершенствованный подход к моделированию интегральных компонентов для LC фильтров

descriptionPublicationkeyboard_double_arrow_right Article 01 Jan 2015 Russian Publisher:Государственное образовательное учреждение высшего профессионального образования "Омский государственный технический университет"Journal:Омский научный вестник (issn: 1813-8225, Copyright policy )

Усовершенствованный подход к моделированию интегральных компонентов для LC фильтров

Abstract

В статье предложены способы совершенствования подходов к проектированию интегральных LC фильтров для сокращения общего времени разработки устройств. Осуществлена попытка дать ответы на вопросы относительно реализации интегральных компонентов. Предложенные усовершенствования опробованы в процессе моделирования двух полосовых фильтров, представлены данные по их электрическим параметрам.

The paper suggests ways to improve the approaches to the design of integrated LC filters to reduce overall development time devices. An attempt to answer questions regarding the implementation of integrated components is done. There are proposed improvements tested in the simulation of two bandpass filters, presented data on their electrical parameters.

Keywords

ИНТЕГРАЛЬНЫЙ LC ФИЛЬТР,MULTILAYER INTEGRATED COMPONENTS,МНОГОСЛОЙНЫЕ ИНТЕГРАЛЬНЫЕ КОМПОНЕНТЫ,ПОДХОД К ПРОЕКТИРОВАНИЮ,DESIGN APPROACH,ЭЛЕКТРОМАГНИТНОЕ МОДЕЛИРОВАНИЕ,ELECTROMAGNETIC SIMULATION,INTEGRAL LC FILTER

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average
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