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Constraints and invariance in target detection
Bibliography: leaves 237-246.
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| Main Author: | |
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| Format: | Thesis |
| Language: | English |
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Department of Electrical Engineering
2014
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| _version_ | 1867613263528722432 |
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| access_status_str | Open Access |
| author | Nicolls, Frederick |
| author_browse | Nicolls, Frederick |
| author_facet | Nicolls, Frederick |
| author_sort | Nicolls, Frederick |
| collection | Thesis |
| description | Bibliography: leaves 237-246. |
| format | Thesis |
| id | oai:open.uct.ac.za:11427/5137 |
| institution | University of Cape Town (South Africa) |
| language | eng |
| last_indexed | 2026-06-10T12:33:21.255Z |
| license_str | Not specified — see source repository |
| provenance_str_mv | Harvested via OAI-PMH from UCTD — University of Cape Town Open Access Repository |
| publishDate | 2014 |
| publishDateRange | 2014 |
| publishDateSort | 2014 |
| publisher | Department of Electrical Engineering |
| publisherStr | Department of Electrical Engineering |
| record_format | dspace |
| source_str | UCTD — University of Cape Town Open Access Repository |
| spelling | oai:open.uct.ac.za:11427/5137 Constraints and invariance in target detection Nicolls, Frederick Electrical Engineering Detection estimation hypothesis testing invariance Bibliography: leaves 237-246. 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. 2014-07-31T10:54:16Z 2014-07-31T10:54:16Z 2000 Doctoral Thesis Doctoral PhD http://hdl.handle.net/11427/5137 eng application/pdf Department of Electrical Engineering Faculty of Engineering and the Built Environment University of Cape Town |
| spellingShingle | Electrical Engineering Detection estimation hypothesis testing invariance Nicolls, Frederick Constraints and invariance in target detection |
| thesis_degree_str | Doctoral |
| title | Constraints and invariance in target detection |
| title_full | Constraints and invariance in target detection |
| title_fullStr | Constraints and invariance in target detection |
| title_full_unstemmed | Constraints and invariance in target detection |
| title_short | Constraints and invariance in target detection |
| title_sort | constraints and invariance in target detection |
| topic | Electrical Engineering Detection estimation hypothesis testing invariance |
| url | http://hdl.handle.net/11427/5137 |
| work_keys_str_mv | AT nicollsfrederick constraintsandinvarianceintargetdetection |