Noise tuning in stochastic systems

Noise-added systems present interesting features in many application fields and terms such as stochastic resonance and dithering are becoming more com mon. The main problem in dealing with noise-added systems is the identifica tion of the optimal value of the noise variance as a function of system par ameter fluctuations. In a previous work the authors introduced a theoretica l relationship attesting the dependence of the noise variance on some forci ng signal parameters. This relationship was used to preserve optimal system performance as the input signal characteristics change. In this paper both a numerical and a hardware solution for the implementation of the above-me ntioned relationship are proposed. More specifically, both a virtual instru ment and an analogue device implementing noise variance control are propose d.