About: Coaxial Filters Optimization Using Tuning Space Mapping in CST Studio     Goto   Sponge   NotDistinct   Permalink

An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

AttributesValues
rdf:type
Description
  • This paper deals with the optimization of coaxial filters using Tuning Space Mapping (TSM) method implemented to CST environment. The function of fine and coarse model and their link between each other is explained. In addition, supporting macros programmed in VBA language, which are used for maximum efficiency of the optimization from the users point of view, are mentioned. Macros are programmed in CST and are also used for automatic calibration constants determination and for automatic calibration process between the coarse model and the fine model. The whole algorithm is illustrated on the particular seven-order filter design and optimized results are compared to measured ones.
  • This paper deals with the optimization of coaxial filters using Tuning Space Mapping (TSM) method implemented to CST environment. The function of fine and coarse model and their link between each other is explained. In addition, supporting macros programmed in VBA language, which are used for maximum efficiency of the optimization from the users point of view, are mentioned. Macros are programmed in CST and are also used for automatic calibration constants determination and for automatic calibration process between the coarse model and the fine model. The whole algorithm is illustrated on the particular seven-order filter design and optimized results are compared to measured ones. (en)
Title
  • Coaxial Filters Optimization Using Tuning Space Mapping in CST Studio
  • Coaxial Filters Optimization Using Tuning Space Mapping in CST Studio (en)
skos:prefLabel
  • Coaxial Filters Optimization Using Tuning Space Mapping in CST Studio
  • Coaxial Filters Optimization Using Tuning Space Mapping in CST Studio (en)
skos:notation
  • RIV/00216305:26220/11:PU92203!RIV12-MSM-26220___
http://linked.open...avai/riv/aktivita
http://linked.open...avai/riv/aktivity
  • P(GA102/07/0688), P(GD102/08/H018), P(OC08027), P(OC09016), S, Z(MSM0021630513)
http://linked.open...iv/cisloPeriodika
  • 1
http://linked.open...vai/riv/dodaniDat
http://linked.open...aciTvurceVysledku
http://linked.open.../riv/druhVysledku
http://linked.open...iv/duvernostUdaju
http://linked.open...titaPredkladatele
http://linked.open...dnocenehoVysledku
  • 190762
http://linked.open...ai/riv/idVysledku
  • RIV/00216305:26220/11:PU92203
http://linked.open...riv/jazykVysledku
http://linked.open.../riv/klicovaSlova
  • Tuning Space Mapping, optimization, fine model, coarse model, VBA language, CST. (en)
http://linked.open.../riv/klicoveSlovo
http://linked.open...odStatuVydavatele
  • CZ - Česká republika
http://linked.open...ontrolniKodProRIV
  • [4FCC8100723E]
http://linked.open...i/riv/nazevZdroje
  • Radioengineering
http://linked.open...in/vavai/riv/obor
http://linked.open...ichTvurcuVysledku
http://linked.open...cetTvurcuVysledku
http://linked.open...vavai/riv/projekt
http://linked.open...UplatneniVysledku
http://linked.open...v/svazekPeriodika
  • 20
http://linked.open...iv/tvurceVysledku
  • Tkadlec, Roman
  • Wolanský, David
http://linked.open...n/vavai/riv/zamer
issn
  • 1210-2512
number of pages
http://localhost/t...ganizacniJednotka
  • 26220
Faceted Search & Find service v1.16.118 as of Jun 21 2024


Alternative Linked Data Documents: ODE     Content Formats:   [cxml] [csv]     RDF   [text] [turtle] [ld+json] [rdf+json] [rdf+xml]     ODATA   [atom+xml] [odata+json]     Microdata   [microdata+json] [html]    About   
This material is Open Knowledge   W3C Semantic Web Technology [RDF Data] Valid XHTML + RDFa
OpenLink Virtuoso version 07.20.3240 as of Jun 21 2024, on Linux (x86_64-pc-linux-gnu), Single-Server Edition (126 GB total memory, 58 GB memory in use)
Data on this page belongs to its respective rights holders.
Virtuoso Faceted Browser Copyright © 2009-2024 OpenLink Software