Noise-enhanced Fisher information in parallel arrays of sensors with saturation.

This paper investigates stochastic resonance in parallel arrays of uncoupled saturating devices. The Fisher information is used to demonstrate the possibility of noise improved parameter estimation for arbitrary parametric signals. Especially, it is shown that improvement by noise always occurs in these arrays, for any configuration of the input signal, even in optimal configuration. The results contribute to establish stochastic resonance in parallel uncoupled arrays as a general mechanism of enhancement by noise, which can occur in wide classes of nonlinearities and for various information processing tasks. It can supplement other mechanisms of stochastic resonance that take place in isolated nonlinearities but generally in restricted configurations of the input signal.