Demo abstract: Signal reconstruction with subnyquist sampling using wireless sensor networks

Data streaming for sensor networks is an emerging class of application that can offer significant safety and utility enhancements in a number of critical environments. In one such application, disaster response, a wireless sensor network may assist in the detection of living victims trapped in collapsed buildings. As a step towards this goal, this paper addresses the very high bandwidth and processing requirements posed by streaming applications, and demonstrates a sub-Nyquist sampling procedure for reconstructing higher-resolution speech signals.