Constraints and invariance in target detection

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dc.contributor.authorNicolls, Fredericken_ZA
dc.date.accessioned2014-07-31T10:54:16Z
dc.date.available2014-07-31T10:54:16Z
dc.date.issued2000en_ZA
dc.descriptionBibliography: leaves 237-246.
dc.description.abstractThe concept of invariance in hypothesis testing is discussed for purposes of target detection. Invariant tests are proposed and analysed in two contexts. The first involves the use of cyclic permutation invariance as a solution to detecting targets with unknown location in noise. An invariance condition is used to eliminate the target location parameter, and a uniformly most powerful test developed for the reduced data. The test is compared with conventional solutions, and shown to be more powerfu. The difference however is slight, justifying the simpler formulations. This conclusion continues to hold even when additional unknown noise parameters are introduced.en_ZA
dc.identifier.apacitationNicolls, F. (2000). <i>Constraints and invariance in target detection</i>. (Thesis). University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering. Retrieved from http://hdl.handle.net/11427/5137en_ZA
dc.identifier.chicagocitationNicolls, Frederick. <i>"Constraints and invariance in target detection."</i> Thesis., University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2000. http://hdl.handle.net/11427/5137en_ZA
dc.identifier.citationNicolls, F. 2000. Constraints and invariance in target detection. University of Cape Town.en_ZA
dc.identifier.ris TY - Thesis / Dissertation AU - Nicolls, Frederick AB - The concept of invariance in hypothesis testing is discussed for purposes of target detection. Invariant tests are proposed and analysed in two contexts. The first involves the use of cyclic permutation invariance as a solution to detecting targets with unknown location in noise. An invariance condition is used to eliminate the target location parameter, and a uniformly most powerful test developed for the reduced data. The test is compared with conventional solutions, and shown to be more powerfu. The difference however is slight, justifying the simpler formulations. This conclusion continues to hold even when additional unknown noise parameters are introduced. DA - 2000 DB - OpenUCT DP - University of Cape Town LK - https://open.uct.ac.za PB - University of Cape Town PY - 2000 T1 - Constraints and invariance in target detection TI - Constraints and invariance in target detection UR - http://hdl.handle.net/11427/5137 ER - en_ZA
dc.identifier.urihttp://hdl.handle.net/11427/5137
dc.identifier.vancouvercitationNicolls F. Constraints and invariance in target detection. [Thesis]. University of Cape Town ,Faculty of Engineering & the Built Environment ,Department of Electrical Engineering, 2000 [cited yyyy month dd]. Available from: http://hdl.handle.net/11427/5137en_ZA
dc.language.isoengen_ZA
dc.publisher.departmentDepartment of Electrical Engineeringen_ZA
dc.publisher.facultyFaculty of Engineering and the Built Environment
dc.publisher.institutionUniversity of Cape Town
dc.subject.otherElectrical Engineeringen_ZA
dc.subject.otherDetection
dc.subject.otherestimation
dc.subject.otherhypothesis testing
dc.subject.otherinvariance
dc.titleConstraints and invariance in target detectionen_ZA
dc.typeDoctoral Thesis
dc.type.qualificationlevelDoctoral
dc.type.qualificationnamePhDen_ZA
uct.type.filetypeText
uct.type.filetypeImage
uct.type.publicationResearchen_ZA
uct.type.resourceThesisen_ZA
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