Signal recognition by synchronization of chaotic systems

It is shown that the synchronization of two coupled tent maps can be used for a practical signal classification task. Hebbian learning is used to set the coupling coefficients for correct classification. For the problem with real data considered, it is surprising that such a simple system can solve the problem.


Year:
1997
Laboratories:




 Record created 2005-07-13, last modified 2018-03-17


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