@inproceedings{5449abb083a5490e962f29c6a23a597d,
title = "A Resource-Constrained Sensor Dynamic Compensation Using a Learning-from-Examples Approach",
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.",
keywords = "sensor compensation, support vector machines for regression, reduced-set methods, microcontroller implementation",
author = "Anna Marconato and Mingqing Hu and Christian Marzadro and Andrea Boni and D. Petri",
year = "2007",
month = may,
day = "1",
language = "English",
series = "IEEE International Instrumentation and Measurement Technology Conference Proceedings",
publisher = "Instrumentation and Measurement Technology Conference, IEEE",
pages = "1--6",
booktitle = "2007 IEEE Instrumentation & Measurement Technology Conference IMTC 2007",
note = "IEEE/IMTC 2007, the IEEE Instrumentation and Measurement Technology Conference ; Conference date: 01-05-2007 Through 03-05-2007",
}