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Please use this identifier to cite or link to this item: https://hdl.handle.net/2440/55484
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dc.contributor.authorWang, H.-
dc.contributor.authorSuter, D.-
dc.date.issued2004-
dc.identifier.citationIEEE Transactions on Pattern Analysis and Machine Intelligence, 2004; 26(11):1459-1474-
dc.identifier.issn0162-8828-
dc.identifier.issn1939-3539-
dc.identifier.urihttp://hdl.handle.net/2440/55484-
dc.description.abstractSmall-scale wind turbines commonly use AC/DC converters such as rectifiers, switched mode rectifiers (SMRs) and inverters. Another power converter, the semi-bridge SMR has been researched for automotive applications, and is utilised by a number of small-scale wind turbine manufacturers. This paper applies a novel modulation technique developed for automotive applications of the semi-bridge SMR for Lundell and interior permanent magnet alternators to small-scale wind turbines utilising surface permanent magnet generators. The performance obtained using the semi-bridge SMR is compared to that obtained using single-switch SMRs and inverters.-
dc.description.statementofresponsibilityM. Pathmanathan, C. Tang, W.L. Soong and N. Ertugrul-
dc.description.urihttp://ieeexplore.ieee.org/servlet/opac?punumber=4807911-
dc.language.isoen-
dc.publisherIEEE Computer Soc-
dc.source.urihttp://dx.doi.org/10.1109/tpami.2004.109-
dc.subjectImage Interpretation, Computer-Assisted-
dc.subjectImage Enhancement-
dc.subjectSubtraction Technique-
dc.subjectCluster Analysis-
dc.subjectSensitivity and Specificity-
dc.subjectReproducibility of Results-
dc.subjectAlgorithms-
dc.subjectFeedback-
dc.subjectArtificial Intelligence-
dc.subjectComputer Graphics-
dc.subjectComputer Simulation-
dc.subjectNumerical Analysis, Computer-Assisted-
dc.subjectSignal Processing, Computer-Assisted-
dc.subjectUser-Computer Interface-
dc.subjectInformation Storage and Retrieval-
dc.subjectPattern Recognition, Automated-
dc.titleRobust adaptive-scale parametric model estimation for computer vision-
dc.typeJournal article-
dc.identifier.doi10.1109/TPAMI.2004.109-
pubs.publication-statusPublished-
dc.identifier.orcidSuter, D. [0000-0001-6306-3023]-
Appears in Collections:Aurora harvest
Computer Science publications
Environment Institute publications

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