Cellular neural networks: a new paradigm for multisensor data fusion

In this paper an overview of cellular neural networks (CNNs) and their applications is reported with special attention to some problems in the field of multisensor data fusion. CNNs are nonlinear dynamical systems with a large number of state variables. Moreover, these artificial systems have been often applied to the modelling and simulation of other large scale systems in physics, biology and a lot of other different areas. Applications discussed include image processing, partial differential equation solution and nonlinear phenomena modeling.