A Model-Free Kullback-Leibler Divergence Filter for Anomaly Detection in Noisy Data Series

Ruikun Zhou, Wail Gueaieb, Davide Spinello

We propose a Kullback-Leibler Divergence (KLD) filter to extract anomalies within data series generated by a broad class of proximity sensors, along with the anomaly locations and…