DocumentCode :
3597159
Title :
Demo abstract: Signal reconstruction with subnyquist sampling using wireless sensor networks
Author :
Pazarloglou, Andria ; George, Stephen ; Stoleru, Radu ; Gutierrez-Osuna, Ricardo
Author_Institution :
Dept. of Comput. Sci. & Eng., Texas A&M Univ., College Station, TX, USA
fYear :
2009
Firstpage :
423
Lastpage :
424
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.
Keywords :
Nyquist criterion; audio signal processing; signal reconstruction; signal sampling; speech processing; wireless sensor networks; data streaming; disaster response; signal reconstruction; speech signals; subNyquist sampling; wireless sensor networks; Acoustic sensors; Application software; Bandwidth; Hardware; Sampling methods; Signal processing; Signal reconstruction; Speech; Streaming media; Wireless sensor networks;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Information Processing in Sensor Networks, 2009. IPSN 2009. International Conference on
Print_ISBN :
978-1-4244-5108-1
Electronic_ISBN :
978-1-60558-371-6
Type :
conf
Filename :
5211886
Link To Document :
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