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dc.contributor.authorZhang, Gangen
dc.contributor.authorDuffy, A. P.en
dc.contributor.authorOrlandi, A.en
dc.contributor.authorDi Febo, D.en
dc.contributor.authorWang, Lixinen
dc.contributor.authorSasse, Hugh G.en
dc.date.accessioned2016-06-07T13:13:05Z
dc.date.available2016-06-07T13:13:05Z
dc.date.issued2016-04-27
dc.identifier.citationZhang, G. et al. (2016) Comparison of Data with Multiple Degrees of Freedom Utilizing the Feature Selective Validation (FSV) Method, IEEE Transactions on Electromagnetic Compatibility, 58 (3), pp. 784 - 791en
dc.identifier.urihttp://hdl.handle.net/2086/12139
dc.descriptionThis research is the product of a collaboration between: 1. Harbin Institute of Technology, China 2. De Montfort University, UK 3. University of L'Aquila, Italy “© 2016 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other worksen
dc.description.abstractThe feature selective validation method has been shown to provide results that are in broad agreement with the visual assessment of a group of engineers for line, 1-D, data. An implementation using 2-D Fourier transforms and derivatives have been available for some years, but verification of the performance has been difficult to obtain. Further, that approach does not naturally scale well for 3-D and higher degrees of freedom, particularly if there are sizable differences in the number of points in the different directions. This paper describes an approach based on repeated 1-D FSV analyses that overcomes those challenges. The ability of the 2-D case to mirror user perceptions is demonstrated using the LIVE database. Its extension to n-dimensions is also described and includes a suggestion for weighting the algorithm based on the number of data points in a given “direction.”en
dc.language.isoen_USen
dc.publisherIEEEen
dc.subjectComparisonen
dc.subjectfeature selective validation (FSV)en
dc.subjectmeasurementen
dc.subjectmodelingen
dc.subjectvalidationen
dc.titleComparison of Data with Multiple Degrees of Freedom Utilizing the Feature Selective Validation (FSV) Methoden
dc.typeArticleen
dc.identifier.doihttp://dx.doi.org/10.1109/TEMC.2016.2543958
dc.researchgroupCentre for Electronic and Communications Engineeringen
dc.peerreviewedYesen
dc.funderNational Natural Science Foundational of Chinaen
dc.projectid51507041en
dc.cclicenceCC-BY-NC-NDen
dc.date.acceptance2016-03-16en
dc.researchinstituteInstitute of Engineering Sciences (IES)en


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