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spectra in elementary cellular automata and fractal signals
Phys. Rev. E 71, 067103 – Published 28 June, 2005
DOI: https://doi.org/10.1103/PhysRevE.71.067103
Abstract
We systematically compute the power spectra of the one-dimensional elementary cellular automata introduced by Wolfram. On the one hand our analysis reveals that one automaton displays spectra though considered as trivial, and on the other hand that various automata classified as chaotic or complex display no spectra. We model the results generalizing the recently investigated Sierpinski signal to a class of fractal signals that are tailored to produce spectra. From the widespread occurrence of (elementary) cellular automata patterns in chemistry, physics, and computer sciences, there are various candidates to show spectra similar to our results.
Article Text
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In Ref. [10] we have shown this both numerically and analytically for rule 90. For other rules it is also easy to derive analytically.
Rule 105 is simply the inverse of rule 150, i.e., .