Complexity and 1-f noise. A phase space approachReport as inadecuate




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Abstract : 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.





Author: Yi-Cheng Zhang

Source: https://hal.archives-ouvertes.fr/



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