The Elisha Yegal Bar-Ness Center for Wireless Information Processing (CWiP) researches diverse areas of communications, signal processing and radar. Principal areas of research include cloud radio-access networks (C-RAN), cooperative networks, distributed radar, fuze radar, SIGINT and acoustics communications. Our research on C-RAN, the virtualization of base- station functionalities in a cellular system via cloud computing, explores novel cellular architectures and C-RAN inspired by network information-theoretic principles. In decentralized networked systems, a fundamental challenge is coordinating the activities of different nodes so they reach a state of consensus. We focus on applications to distributed surveillance applications, automatic vehicle-control applications, and load balancing with divisible tasks in large computer networks or power grids. In radar, distributed architectures offer wide coverage and improved performance against low radar cross-section targets. We detect and track ground-moving targets embedded in ground clutter with sensors that are time-synchronized, but not phase synchronized; the sensors communicate with a central processing center. We also design new waveforms that improve the performance of current fuzing radars. In the realm of military applications, we work on methods for separating unknown mixtures of wireless signals. In other applied research, we research wireless communication by way of acoustic propagation to achieve high transmission rates. In the oil drilling industry, for example, real-time transmission of data such as temperature, pressure, torque and drilling direction from downhole to the surface is vital. Since boreholes are typically very deep, wired communication is expensive and prone to failure.