Chaos Pass Filter: Linear Response of Synchronized Chaotic Systems
Steffen Zeeb, Johannes Kestler, Ido Kanter, Wolfgang Kinzel

TL;DR
This paper investigates how synchronized chaotic systems respond linearly to small external signals, revealing complex behaviors like power law tails, fractal structures, and resonance effects, with implications for chaos pass filtering.
Contribution
It provides analytical and numerical analysis of the linear response of synchronized chaotic systems, including the distribution of deviations and bit error rates, highlighting phenomena like fractal structures and resonance effects.
Findings
Distribution of deviations can have power law tails.
Bit error rate exhibits nonmonotonic behavior and fractal structures.
A chain of units can completely filter out perturbations.
Abstract
The linear response of synchronized time-delayed chaotic systems to small external perturbations, i.e., the phenomenon of chaos pass filter, is investigated for iterated maps. The distribution of distances, i.e., the deviations between two synchronized chaotic units due to external perturbations on the transfered signal, is used as a measure of the linear response. It is calculated numerically and, for some special cases, analytically. Depending on the model parameters this distribution has power law tails in the region of synchronization leading to diverging moments of distances. This is a consequence of multiplicative and additive noise in the corresponding linear equations due to chaos and external perturbations. The linear response can also be quantified by the bit error rate of a transmitted binary message which perturbs the synchronized system. The bit error rate is given by an…
Peer Reviews
No public reviews on file for this paper yet. If you reviewed it on a platform where reviews are public (OpenReview, ICLR, NeurIPS, ICML), you can paste yours below so the community can read it here.
Videos
No videos yet. Explain this paper in a talk, walkthrough, or lecture? Add one.
