Demo abstract: Signal reconstruction with subNyquist sampling using wireless sensor networks
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abstract
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.
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Proceedings of the 8th International Conference on Information Processing in Sensor Networks, IPSN 2009, April 13-16, 2009, San Francisco, California, USA
