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

Authors:
Andria Pazarloglou;Stephen George;Radu Stoleru;Ricardo Gutierrez-Osuna
Affiliations:
Department of Computer Science and Engineering, Texas A&MUniversity, LUSA;Department of Computer Science and Engineering, Texas A&MUniversity, LUSA;Department of Computer Science and Engineering, Texas A&MUniversity, LUSA;Department of Computer Science and Engineering, Texas A&MUniversity, LUSA
Venue:
IPSN '09 Proceedings of the 2009 International Conference on Information Processing in Sensor Networks
Year:
2009

Citing 2
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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.