Locally-interconnected cellular architectures for multisensor data fusion

An overview of cellular neural networks (CNNs) and their applications is presented in this paper. CNNs are nonlinear dynamic systems made up of a large number of locally connected units named "cells". They have been often applied to modeling and simulation of large scale systems in physics, biology and a lot of other different areas because of their powerful real-time processing capabilities. The CNNs basics and their main applications reported in literature are dealt with. In particular the suitability of this new paradigm for possible application in the field of multisensor fusion and integration is investigated.

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