Inverse algorithms—powerful tools to improve measurement systems

Measurement systems suffer from problems due to the imperfectness of sensory devices and measuring channels, and the shortage of available information concerning the investigated phenomena itself. This imperfectness and shortage result in unwanted alterations and perturbations of the measured values and/or signals. Better results can be achieved if these alterations and perturbations are counteracted. The role of the inverse algorithms is this counteraction in order to improve the quality of measurement. This paper deals with the challenging issue of addressing various complexity levels of inverse problems and provides solutions illustrated via different application examples.

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