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.
Record created on 2005-07-13, modified on 2016-08-08