David Boland

Real-time FPGA-based Anomaly Detection for Radio Frequency Signals

2018

We describe an open source, FPGA accelerated neural network-based anomaly detector. The detector derives its training set from observed exemplar data and continuous learning in software can be undertaken in an unsupervised manner. Trained network …