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dc.creatorCarroll, James Mason
dc.date.accessioned2020-09-03T21:10:55Z
dc.date.available2020-09-03T21:10:55Z
dc.date.issued1995
dc.identifier.urihttps://hdl.handle.net/1969.1/DISSERTATIONS-1561417
dc.descriptionVita.en
dc.description.abstractSignificant improvements to microwave circuits can be made through the use of statistical methods. This dissertation addresses three aspects of the microwave circuit design process: Modeling, Design Methodology, and Circuit Verification. Advanced statistical modeling methodology was developed for improved active device variation modeling. Design of Experiments techniques were applied to the microwave design process within the Computer Aided Design environment to systematically achieve circuit design goals and reduce performance variation. A new technique based on bilinear transformations was developed which helps quantify potential variation in a S-parameter network. Finally, statistical calibration was applied to the testing process so that wafer probe equipment could be used to obtain measurements for a fixtured environment. Each of these design tool enhancements allow microwave engineer designer to produce circuits that exhibit less performance variability and greater wafer yield in less amount of time.en
dc.format.extentx, 98 leavesen
dc.format.mediumelectronicen
dc.format.mimetypeapplication/pdf
dc.language.isoeng
dc.rightsThis thesis was part of a retrospective digitization project authorized by the Texas A&M University Libraries. Copyright remains vested with the author(s). It is the user's responsibility to secure permission from the copyright holder(s) for re-use of the work beyond the provision of Fair Use.en
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/
dc.subjectMajor electrical engineeringen
dc.subject.classification1995 Dissertation C378
dc.titleImproving microwave circuit testing and producibility with statistical techniquesen
dc.typeThesisen
thesis.degree.grantorTexas A&M Universityen
thesis.degree.nameDoctor of Philosophyen
thesis.degree.namePh. Den
dc.type.genredissertationsen
dc.type.materialtexten
dc.format.digitalOriginreformatted digitalen
dc.publisher.digitalTexas A&M University. Libraries
dc.identifier.oclc35071828


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