Skip to main content
Log in

On Statistical Properties of Chaotic Signals Generated by Negative Sawtooth Maps

  • Published:
Automatic Control and Computer Sciences Aims and scope Submit manuscript

Abstract

In the last few decades, there has been a growing interest in the application of chaotic signals in signal processing and communications. Due to the importance of frequency bandwidth in these fields, the power spectrum of this class of signals generated by some piecewise linear maps have been explored. In this paper, we investigate the statistical properties of chaotic signals generated by particular maps, so-called negative sawtooth maps. Our results reveal that chaotic signals generated from such maps are dominated by high frequencies, and that increasing the number of branches increases the average information; therefore, the chaotic behaviour becomes stronger.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Subscribe and save

Springer+ Basic
$34.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price excludes VAT (USA)
Tax calculation will be finalised during checkout.

Instant access to the full article PDF.

Fig. 1.
Fig. 2.
Fig. 3.
Fig. 4.
Fig. 5

Similar content being viewed by others

REFERENCES

  1. Pappu, T.L., Carroll, B.C., and Flores, B.C., Simultaneous radar-communication systems using controlled chaos-based frequency modulated waveforms, IEEE Access, 2020, vol. 8, pp. 48361–48375.https://doi.org/10.1109/ACCESS.2020.2979324

  2. Sahnoune, D. and Berkani, D., On the performance of chaotic interleaver for turbo codes, SN Appl. Sci., 2021, vol. 3, p. 106.https://doi.org/10.1007/s42452-021-04147-w

  3. Babu, S.B.S. and Kumar, R., A high capacity 1D-chaotic-collaborative-CDMA scheme for shared band 5G-IoT operation, Wireless Personal Commun., 2020, vol. 115, pp. 307–314.https://doi.org/10.1007/s11277-020-07572-z

  4. Jemaa, S.B., Marcos, S., and Belghith, S., A statistical approach to the optimization of the radar ambiguity function and the chaos-based waveform design, Signal Process., 2020, vol. 175, p. 107649.https://doi.org/10.1016/j.sigpro.2020.107649

  5. Zemlyanyi, O. and Lukin, K., Chaos-based spectral keying technique for secure communication and covert data transmission between radar receivers over an open network channel, Telecommunication Networks: Trends and Developments, Matin, M.A., Ed., London: IntechOpen, 2018.https://doi.org/10.5772/intechopen.79027

  6. Eisencraft, M., Kato, D.M., and Monteiro, L.H.A., Spectral properties of chaotic signals generated by the skew tent map, Signal Process., 2010, vol. 90, no. 1, pp. 385–390.https://doi.org/10.1016/j.sigpro.2009.06.018

  7. Feltekh, K., Fournier-Prunaret, D., and Belghith, S., Analytical expressions for power spectral density issued from one-dimensional continuous piecewise linear maps with three slopes, Signal Process., 2014, vol. 94, pp. 149–157.https://doi.org/10.1016/j.sigpro.2013.05.023

  8. Da Costa, R.A., Loiola, M.B., and Eisencraft, M., Correlation and spectral properties of chaotic signals generated by a piecewise-linear map with multiple segments, Signal Process., 2017, vol. 133, pp. 187–191.https://doi.org/10.1016/j.sigpro.2016.10.025

  9. Sahnoune, A. and Berkani, D., On the correlation of chaotic signals generated by multimodal skew tent map, Signal, Image Video Process., 2018, vol. 12, no. 7, pp. 1273–1278. https://doi.org/10.1007/s11760-018-1279-8

  10. Da Costa, R.A. and Eisencraft, M., Spectral characteristics of a general piecewise linear chaotic signal generator, Commun. Nonlinear Sci. Numer. Simul., 2019, vol. 72, pp. 441–448.https://doi.org/10.1016/j.cnsns.2019.01.002

  11. Lin, Q. Wong, K.-Wo, and Chen, J., Generalized arithmetic coding using discrete chaotic maps, Int. J. Bifurcation Chaos, 2012, vol. 22, no. 10, p. 1250256.https://doi.org/10.1142/S0218127412502562

  12. Lin, Q., Wong, K.-Wo, and Chen, J., An enhanced variable-length arithmetic coding and encryption scheme using chaotic maps, J. Syst. Software, 2013, vol. 86, no. 5, pp. 1384–1389.https://doi.org/10.1016/j.jss.2013.01.012

  13. Schuster, H.G. and Just, W., Deterministic Chaos: An Introduction, Wiley-VCH Verlag, 2005, 4th ed.https://doi.org/10.1002/3527604804

  14. Frigg, R., In what sense is the Kolmogorov–Sinai entropy a measure for chaotic behaviour?—Bridging the gap between dynamical systems theory and communication theory, Br. J. Philos. Sci., 2004, vol. 55, no. 3, pp. 411–434.https://doi.org/10.1093/bjps/55.3.411

Download references

ACKNOWLEDGMENTS

The authors are grateful to the anonymous reviewers for their constructive comments that have helped improving the quality of this paper.

Author information

Authors and Affiliations

Authors

Corresponding author

Correspondence to A. Sahnoune.

Ethics declarations

The authors declare that there are no conflicts of interest.

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Sahnoune, A., Berkani, D. On Statistical Properties of Chaotic Signals Generated by Negative Sawtooth Maps. Aut. Control Comp. Sci. 56, 356–363 (2022). https://doi.org/10.3103/S0146411622040071

Download citation

  • Received:

  • Revised:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.3103/S0146411622040071

Keywords