In this paper we present a novel technique based on a learning-from- examples approach for dynamic compensation of sensors. The context of application is the area of Wireless Sensor Networks, where simple but at the same time efficient signal processing methods have to be implemented on local 8-bits microcontrollers. ©2007 IEEE.

A Resource-Constrained Sensor Dynamic Compensation Using a Learning-from-Examples Approach

Marconato, Anna;Hu, Mingqing;Marzadro, Christian;Boni, Andrea;Petri, Dario
2007-01-01

Abstract

In this paper we present a novel technique based on a learning-from- examples approach for dynamic compensation of sensors. The context of application is the area of Wireless Sensor Networks, where simple but at the same time efficient signal processing methods have to be implemented on local 8-bits microcontrollers. ©2007 IEEE.
2007
IMTC/2007 2007 IEEE Instrumentation and Measurement Technology Conference proceedings: synergy of science and technology in instrumentation and measurement
Piscataway, N.J.
IEEE Operations Center
9781424410804
Marconato, Anna; Hu, Mingqing; Marzadro, Christian; Boni, Andrea; Petri, Dario
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Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/11572/39318
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