First established in 2017 and expanded in 2022, ÓÐÁϺÐ×ÓAPP Wavy Labsâ„¢ specializes in developing innovative signal-processing techniques for signal detection, identification, and characterization to support SIGINT, wireless communication, spectrum sharing, and cognitive radio. We bring speed and efficiency at scale to SIGINT operations by harnessing the power of artificial intelligence and machine learning (AI/ML), enabling the implementation of full waveforms’ demodulation chains using an ML model.
By training neural networks for signal identification, we apply automation to accelerate sensemaking for analysts working with large swaths of signals data, enabling them to identify a wide range of signals faster than ever. Instead of relying on time-intensive manual methods, analysts can cut through the noise, focus on what matters most, and evaluate more signals data even as the amount of data they need to track rises.
We write software for RF signal processing that works with software-defined radios, developing custom waveforms for protected communications and other national security applications. In addition, we integrate software-defined radios into various prototypes. These include RF decoy buoys we developed and deployable sensors that can identify signals in an environment with a software-defined radio and a trained neural network.
Our automated sensemaking of signals data and the integration of our signal-processing algorithms with edge receiver devices reduces the amount of data that must be transported between collection and analysis. It also reduces the amount of data that organizations need to store and the cloud-compute cost of performing signal-processing analysis in different kinds of cloud environments.
Our Signals Engineering and Analytics Bootcamp educates the next generation of technical signal practitioners and trains the workforce. In addition, our cyber-physical testbeds enable reverse engineering, security research, and the evaluation of communication protocols used in automotive, maritime, and avionics systems.