The proliferation of transmissions in the RF spectrum demands robust and responsive signal analysis techniques to detect and label malicious activity. Traditional methods struggle to balance sensitivity and accuracy in real-time. This paper introduces Nomad, a modular system that combines global spectral pattern recognition with localized energy detection and classic signal processing methods for efficient and accurate RF analysis. Nomad's innovative architecture facilitates rapid development and deployment, while its intuitive visualizations provide actionable insights into even weak signals within complex RF environments.

Recent developments have shown FPGAs to be effective for data centre applications, but debugging support in that environment has not evolved correspondingly. This presents an additional barrier to widespread adoption. This work proposes Debug Governors, a new open-source debugger designed for controllability and interactive debugging that can help to locate issues across multiple FPGAs.