Please use this identifier to cite or link to this item: https://hdl.handle.net/11147/13962
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dc.contributor.authorKaratay, Anıltr
dc.contributor.authorOlcay, Bilal Orkantr
dc.contributor.authorYaman, Fatihtr
dc.date.accessioned2023-11-11T08:54:55Z-
dc.date.available2023-11-11T08:54:55Z-
dc.date.issued2023-
dc.identifier.isbn979-8-3503-4355-7-
dc.identifier.issn2165-0608-
dc.identifier.urihttps://doi.org/10.1109/SIU59756.2023.10224001-
dc.identifier.urihttps://hdl.handle.net/11147/13962-
dc.description31st IEEE Conference on Signal Processing and Communications Applications (SIU) -- JUL 05-08, 2023 -- Istanbul Tech Univ, Ayazaga Campus, Istanbul, TURKEYen_US
dc.description.abstractIn this study, an efficient approach is presented to improve the characterization of various microwave components commonly used in communication and radar applications, such as antennas and power dividers. The components were initially simulated and then fabricated using the Computer Simulation Technology (CST) software. Vector Network Analyzer (VNA) measurements of the fabricated components were performed using a low-cost but noisy coaxial cable, and the measurement results were processed using a wavelet-based noise reduction method. For comparison purposes, the Haar and Daubechies-4 (DB4) wavelet functions were applied separately, and the results were examined. It was observed that the correlation and root mean square error between the ideal and measurement results improved in a positive direction with the noise reduction application. This approach provides significant cost and labor advantages, particularly when expensive elements such as gold and silver are used in coaxial cables that are physically free from noise. The experimental and numerical results show good agreement between the ideal simulation results and the filtered measurement results.en_US
dc.language.isotren_US
dc.publisherIEEEen_US
dc.relation.ispartof2023 31st Signal Processing and Communications Applications Conference, SIUen_US
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectAntennasen_US
dc.subjectRadio frequencyen_US
dc.subjectWaveletsen_US
dc.subjectNoiseen_US
dc.titleDalgacık gürültü giderme yöntemiyle mikrodalga bileşen karakterizasyonunun iyileştirilmesitr
dc.title.alternativeImproving microwave component characterization using wavelet denoising methoden_US
dc.typeConference Objecten_US
dc.authorid0000-0002-4745-9957-
dc.authorid0000-0002-4516-3028-
dc.authorid0000-0003-3721-6756-
dc.departmentİzmir Institute of Technology. Electrical and Electronics Engineeringen_US
dc.identifier.wosWOS:001062571000215en_US
dc.identifier.scopus2-s2.0-85173481362en_US
dc.relation.publicationcategoryKonferans Öğesi - Uluslararası - Kurum Öğretim Elemanıtr
dc.identifier.doi10.1109/SIU59756.2023.10224001-
dc.authorscopusid57205629887-
dc.authorscopusid57190736569-
dc.authorscopusid6603446898-
dc.authorwosidYaman, Fatih/L-2403-2014-
dc.identifier.wosqualityN/A-
dc.identifier.scopusqualityN/A-
item.fulltextWith Fulltext-
item.grantfulltextopen-
item.languageiso639-1tr-
item.openairecristypehttp://purl.org/coar/resource_type/c_18cf-
item.cerifentitytypePublications-
item.openairetypeConference Object-
crisitem.author.dept01. Izmir Institute of Technology-
crisitem.author.dept01.01. Units Affiliated to the Rectorate-
crisitem.author.dept03.05. Department of Electrical and Electronics Engineering-
Appears in Collections:Electrical - Electronic Engineering / Elektrik - Elektronik Mühendisliği
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collection
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collection
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