Demo Abstract: Signal Reconstruction with SubNyquist Sampling using Wireless Sensor Networks
Andria Pazarloglou, Stephen M. George, Radu Stoleru, Ricardo Gutiérrez‐Osuna · 2012
Data streaming for sensor networks is an emerging class of application that can offer significant safety and util-ity enhancements in a number of critical environments. In one such application, disaster response, a wireless sensor network may assist in the detection of living vic-tims trapped in collapsed buildings. As a step towards this goal, this paper addresses the very high bandwidth and processing requirements posed by streaming appli-cations, and demonstrates a sub-Nyquist sampling pro-cedure for reconstructing higher-resolution speech sig-nals. 1.