Efficient Nonlinear RX Anomaly Detectors

José A. Padrón Hidalgo, Adrián Pérez-Suay, Fatih Nar +1

Current anomaly detection algorithms are typically challenged by either accuracy or efficiency. More accurate nonlinear detectors are typically slow and not scalable. In this lette…