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Title: Modifying the feature-selective validation method to validate noisy data sets
Authors: Knockaert, Jos ×
Peuteman, Joan
Catrysse, Johan
Belmans, Ronnie #
Issue Date: Feb-2008
Publisher: Institution of Electrical Engineers
Series Title: IEE proceedings. Science, measurement and technology vol:2 issue:4 pages:244-257
Abstract: Objective validation and ranking of measurements and simulations may be done by methods, such as FSV (Feature Selective Validation). In this paper, FSV is used to compare two EMC-measurement results. Due to the noisy nature of this type of data, the FSV results are corrupted. The reasons are discussed and solutions are proposed to make FSV feasible in a broader area of applications. The final solution is a combination of denoising the data and changing the weight of the data to be in accordance with our visual interpretation.
ISSN: 1350-2344
Publication status: published
KU Leuven publication type: IT
Appears in Collections:ESAT - ELECTA, Electrical Energy Computer Architectures
Technologiecluster ESAT Elektrotechnische Engineering
Electrical Engineering (ESAT) TC, Technology Campus Ostend
× corresponding author
# (joint) last author

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