An increasing interest has been recently devoted to the synchronisation of non-linear circuits (SNC) with particular attention to the case of chaotic ones [l], [2]. Some techniques have been developed to force two (or more) identical non linear dynamic circuits, starting from different initial conditions, to synchronise, that is to follow identical trajectories (asymptotically, at least). This is particularly interesting if the circuits behave chaotically because of their sensitive dependence on initial conditions. However, if some conditions on the Lyapunov exponents are satisfied, then these circuits can be synchronised anyway. Synchronisation principles have been applied to obtain analog masking systems for secure spread spectrum communication [4], [5].
Cellular Neural Networks in secure transmission application
CAPONETTO, Riccardo;
1996-01-01
Abstract
An increasing interest has been recently devoted to the synchronisation of non-linear circuits (SNC) with particular attention to the case of chaotic ones [l], [2]. Some techniques have been developed to force two (or more) identical non linear dynamic circuits, starting from different initial conditions, to synchronise, that is to follow identical trajectories (asymptotically, at least). This is particularly interesting if the circuits behave chaotically because of their sensitive dependence on initial conditions. However, if some conditions on the Lyapunov exponents are satisfied, then these circuits can be synchronised anyway. Synchronisation principles have been applied to obtain analog masking systems for secure spread spectrum communication [4], [5].Pubblicazioni consigliate
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