International Business Machines Corporation
NOISE MODEL-BASED CONVERTER WITH SIGNAL STEPS BASED ON UNCERTAINTY

Abstract:

Embodiments of the present invention are directed to a noise-model based sensor converter configured to map a sensor measurement output to discrete, nonlinear steps of constant uncertainty. In a non-limiting embodiment of the invention, the sensor converter receives an output signal from a sensor. The output signal can include a measurement. The sensor converter can also receive a noise model. The output signal is mapped to a discrete set of steps based on the noise model. The discrete set of steps are nonlinearly spaced to provide constant uncertainty between adjacent steps. The sensor converter generates an output based on the discrete set of steps.