A procedure for extending the linear range of an arbitrary sensor is proposed. The process is carried out by a neural network which compensates the sensor nonlinear characteristic. A negative temperature coefficient resistor sensor is used as an application example of the procedure, and its implementation in low-resolution microcontrollers is analyzed.
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Medrano-Marques et al. (2001) studied this question.
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