1/f noise from point process and time-subordinated Langevin equations

Abstract

Internal mechanism leading to the emergence of the widely occurring 1/f noise still remains an open issue. In this paper we investigate the distinction between internal time of the system and the physical time as a source of 1/f noise. After demonstrating the appearance of 1/f noise in the earlier proposed point process model, we generalize it starting from a stochastic differential equation which describes a Brownian-like motion in the internal (operational) time. We consider this equation together with an additional equation relating the internal time to the external (physical) time. We show that the relation between the internal time and the physical time that depends on the intensity of the signal can lead to 1/f noise in a wide interval of frequencies. The present model can be useful for the explanation of the appearance of 1/f noise in different systems.

References in corpus (7)

• Review of the Low-Frequency 1/f Noise in Graphene Devices
• Continuous Time Random Walks (CTRWs): Simulation of continuous trajectories
• Excitable human dynamics driven by extrinsic events in massive communities
• A long-range memory stochastic model of the return in financial markets
• Self-organised criticality and 1/f noise in single-channel current of voltage-dependent anion channel
• Strong Mobility in Weakly Disordered Systems
• Anomalous diffusion in nonhomogeneous media: Time-subordinated Langevin equation approach

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