Complexity and 1/f noise. A phase space approach
Résumé
A complexity measure is introduced which is the integral of the coarse-grained, scale dependent entropies. As an application we analyze a Gaussian distribution model for noise signals. We find that among all possible distributions the one having the 1/f power spectrum maximizes the complexity measure.
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Articles anciens
Origine : Accord explicite pour ce dépôt