ADAD: An Energy-Efficient Hardware Solution for Real-Time Anomaly Detection Using Extended Decorrelation-Based Method
This paper presents ADAD, an energy-efficient hardware solution for real-time streaming anomaly detection built on an extended decorrelation-based algorithm (EDAD). EDAD extends a prior decorrelation-based anomaly detector, which operates in a continual-updating regime suited for nonstationary environments, with a Free...