We studied fundamentals of sensor measurement: measure magnitude of physical quantity and convert it to a signal that can be read and processed by a processor.
We also learnt how to estimate parameters based on collected sensory data through experiments. Approximation is mostly based on probabilistic model. Basic methods of circuit fitting techniques to find a mathematical model and standard deviation used to examine sensory data are briefed.
A case study of infrared ranging sensor is presented to illustrate the concepts of measurement and estimation with sensory data.
We also learnt how to estimate parameters based on collected sensory data through experiments. Approximation is mostly based on probabilistic model. Basic methods of circuit fitting techniques to find a mathematical model and standard deviation used to examine sensory data are briefed.
A case study of infrared ranging sensor is presented to illustrate the concepts of measurement and estimation with sensory data.
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