Design of wideband Wilkinson dividers using neural network

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F13%3APU103326" target="_blank" >RIV/00216305:26220/13:PU103326 - isvavai.cz</a>
Result on the web
—
DOI - Digital Object Identifier
—

Result language
angličtina
Original language name
Design of wideband Wilkinson dividers using neural network
Original language description
This document is focused on design of symmetrical wideband splitters which are determined for distribution signals from one common source to two sinks. The ratio of minimal and maximal frequency of bandwidth is approximately about 0.43. That is exactly why this complex design of splitter represents wideband solution. This paper contains fundamental theory for designing wideband splitters and solution by using neural networks. The problem is defined by two input variables ? values of frequency to definethe frequency band. The neural network is set up to compute parameters of planar structure. Designed splitters were manufactured and measured. Obtained S parameters, such as transmission, isolation or reflections are discussed in the closing part of thepaper.
Czech name
—
Czech description
—

Project
<a href="/en/project/ED2.1.00%2F03.0072" target="_blank" >ED2.1.00/03.0072: Centre of sensor, information and communication systems</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2013
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceedings of 23rd International Conference Radioelektronika 2013
ISBN
978-1-4673-5517-9
ISSN
—
e-ISSN
—
Number of pages
5
Pages from-to
204-208
Publisher name
Neuveden
Place of publication
Neuveden
Event location
Pardubice
Event date
Apr 16, 2013
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
—

Similar results(10)