2014 World Symposium on Computer Applications &Amp; Research (WSCAR) 2014
DOI: 10.1109/wscar.2014.6916822
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Correlation properties of sequences generated by a simple first order scalar time-delay chaotic system

Abstract: In this paper, we use an analytical method to discretize delayed differential equations (DDEs) that are considered systems of infinite dimension. We propose to use this family of chaotic systems to generate pseudo-random sequences. Finally, we analyze numerically the correlation properties of sequences generated versus time delay.

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Cited by 2 publications
(4 citation statements)
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“…From the results obtained in [18] and Fig. 8, we find a linear increase in the dimension, while the Kolmogorov-Sinai entropy remains roughly constant.…”
Section: Metric Entropymentioning
confidence: 57%
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“…From the results obtained in [18] and Fig. 8, we find a linear increase in the dimension, while the Kolmogorov-Sinai entropy remains roughly constant.…”
Section: Metric Entropymentioning
confidence: 57%
“…As described in [18] in numerical simulations, we divide the delay interval T into N subintervals h, T = N × h where h = 0.01. These N samples can equivalently be thought of as the N variables of an N -dimensional discrete mapping as follows:…”
Section: Discretizing the Delay Equationmentioning
confidence: 99%
See 1 more Smart Citation
“…As described in [30] in numerical simulations, we divide the delay interval T into N subintervals h, T = N × h where h = 0.01. These N samples can equivalently be thought of as the N variables of an N-dimensional discrete mapping as follows: In this way a continuous infinite dimensional dynamical system is approximated by a finite dimensional iterated map.…”
Section: Discretizing the Delay Equationmentioning
confidence: 99%