On the interplay between routing and signal representation for Compressive Sensing in wireless sensor networks

Compressive Sensing (CS) shows high promise for fully distributed compression in wireless sensor networks (WSNs). In theory, CS allows the approximation of the readings from a sensor field with excellent accuracy, while collecting only a small fraction of them at a data gathering point. However, the...

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Bibliographische Detailangaben

Hauptverfasser:	Quer, G., Masiero, R., Munaretto, D., Rossi, M., Widmer, J., Zorzi, M.
Format:	Tagungsbericht
Sprache:	eng ; jpn
Schlagworte:	Costs Data analysis Image coding Image reconstruction Image storage Network topology Routing protocols Sampling methods Signal representations Wireless sensor networks
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