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Modifying the feature-selective validation method to validate noisy data sets

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4 Author(s)
J. Knockaert ; Dept. of Electr. Eng. (ESAT), Katholieke Univ. Leuven, Heverlee ; J. Peuteman ; J. Catrysse ; R. Belmans

Objective validation and ranking of measurements and simulations may be done by methods such as feature selective validation (FSV). FSV is used to compare two EMC-measurement results. Owing to the noisy nature of these 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.

Published in:

IET Science, Measurement & Technology  (Volume:2 ,  Issue: 4 )