Paper
25 May 2004 Exact solutions to stochastic resonance systems and nonlinear stochastic circuits
Author Affiliations +
Proceedings Volume 5471, Noise in Complex Systems and Stochastic Dynamics II; (2004) https://doi.org/10.1117/12.547231
Event: Second International Symposium on Fluctuations and Noise, 2004, Maspalomas, Gran Canaria Island, Spain
Abstract
There exist a common belief that random sequences are produced from very complicated phenomena, making impossible the construction of accurate mathematical models. It has been recently shown that under specific conditions the exact solutions to some chaotic functions can be generalized to produce truly random sequences. This establishes a transition from chaos to stochastic dynamics. Using this result we can obtain explicit output expressions for stochastic dynamics problems like those posed by stochastic resonant nonlinear systems. We show that in this kind of systems the phenomenon of noise-induced disorder-order can be more efficiently described with an information-theory approach through the determination of a parameter that measures the complexity of the dynamics. The Stochastic Resonance (SR) is just an example of the principal phenomenon wherein the complex stochastic dynamics is converted into a simpler one. Then we show the opposite phenomenon whereby the autonomous (without input noise) transition from chaotic order to stochastic disorder is achieved by a static non-invertible non-linearity. We build electronic systems to simulate and produce experimentally all these phenomena.
© (2004) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Jose J. Suarez and Jorge A. Gonzalez "Exact solutions to stochastic resonance systems and nonlinear stochastic circuits", Proc. SPIE 5471, Noise in Complex Systems and Stochastic Dynamics II, (25 May 2004); https://doi.org/10.1117/12.547231
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Stochastic processes

Dynamical systems

Complex systems

Signal to noise ratio

Mathematical modeling

Interference (communication)

Chaos

Back to Top