The present work proposes a novel method of detection and estimation of outliers in particleudimage velocimetry measurements by the modification of the temporal coefficients associatedudwith a proper orthogonal decomposition of an experimental time series. Using syntheticudoutliers applied to two sequences of vector fields, the method is benchmarked against stateof-the-artudapproaches recently proposed to remove the influence of outliers. Compared withudthese methods, the proposed approach offers an increase in accuracy and robustness for theuddetection of outliers and comparable accuracy for their estimation.
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