Measurements of parameters influencing the optimal noise level in stochastic systems

Noise-added systems exhibit interesting features in many application fields. In particular, the Stochastic Resonance (SR) phenomenon has been introduced as an innovative approach to understand the behavior and to improve the performance of several classes of systems. In this paper, a new procedure to determine the parameters that influence the optimal level of the noise assuring suitable performances is proposed. The method has been implemented by using a virtual instrument. It enables the determination of the parameters to be carried out via the collection of a very small number of measurements. Both virtual and analog tools, allowing the noise level control, are proposed and a case study is reported.