Tsallis distributions and 1/f noise from nonlinear stochastic differential equations

Probability distributions that emerge from the formalism of nonextensive statistical mechanics have been applied to a variety of problems. In this article we unite modeling of such distributions with the model of widespread 1/f noise. We propose a class of nonlinear stochastic differential equations giving both the q-exponential or q-Gaussian distributions of signal intensity, revealing long-range correlations and 1/f(beta) behavior of the power spectral density. The superstatistical framework to get 1/f(beta) noise with q-exponential and q-Gaussian distributions of the signal intensity is proposed, as well.