INVESTIGATION OF THE KOLMOGOROV-WIENER FILTER FOR CONTINUOUS FRACTAL PROCESSES ON THE BASIS OF THE CHEBYSHEV POLYNOMIALS OF THE FIRST KIND
Vyacheslav Gorev
lordjainor@gmail.comDnipro University of Technology, Department of Information Security and Telecommunications (Ukraine)
http://orcid.org/0000-0002-9528-9497
Alexander Gusev
Dnipro University of Technology, Department of Information Security and Telecommunications (Ukraine)
http://orcid.org/0000-0002-0548-728X
Valerii Korniienko
Dnipro University of Technology, Department of Information Security and Telecommunications (Ukraine)
http://orcid.org/0000-0002-0800-3359
Abstract
This paper is devoted to the investigation of the Kolmogorov-Wiener filter weight function for continuous fractal processes with a power-law structure function. The corresponding weight function is sought as an approximate solution to the Wiener-Hopf integral equation. The truncated polynomial expansion method is used. The solution is obtained on the basis of the Chebyshev polynomials of the first kind. The results are compared with the results of the authors’ previous investigations devoted to the same problem where other polynomial sets were used. It is shown that different polynomial sets present almost the same behaviour of the solution convergence.
Keywords:
continuous fractal processes, Kolmogorov–Wiener filter weight function, Chebyshev polynomials of the first kindReferences
Bagmanov V. Kh., Komissarov A. M., Sultanov A. Kh.: Teletraffic forecast on the basis of fractal fliters. Bulletin of Ufa State Aviation Technical University 9(6(24))/2007, 217–222 (in Russian).
Google Scholar
Gorev V. N., Gusev A. Yu., Korniienko V. I.: On the analytical solution of a Volterra integral equation for investigation of fractal processes. Radio Electronics, Computer Science, Control 4/2018, 42–50.
DOI: https://doi.org/10.15588/1607-3274-2018-4-4
Google Scholar
Gorev V. N., Gusev A. Yu., Korniienko V. I.: Polynomial solutions for the Kolmogorov-Wiener filter weight function for fractal processes. Radio Electronics, Computer Science, Control 2/2019, 44–52.
DOI: https://doi.org/10.15588/1607-3274-2019-2-5
Google Scholar
Gorev V. N., Gusev A. Yu., Korniienko V. I.: Investigation of the Kolmogorov-Wiener filter for treatment of fractal processes on the basis of the Chebyshev polynomials of the second kind, CEUR Workshop Proceedings 2353/2019, 596–606.
Google Scholar
Gradshteyn I. S., Ryzhik I. M.: Table of Integrals, Series, and Products, Eighth edition, Zwillinger D., Moll V. (Ed.) Elsevier, Amsterdam 2015.
Google Scholar
Miller S., Childers D.: Probability and Random Processes With Applications to Signal Processing and Communications, Second edition. Elseiver, Amsterdam 2012.
DOI: https://doi.org/10.1016/B978-0-12-386981-4.50011-4
Google Scholar
Pipiras V., Taqqu M.: Long-Range Dependence and Self-Similarity. Cambridge University Press, 2017.
DOI: https://doi.org/10.1017/CBO9781139600347
Google Scholar
Polyanin A. D., Manzhirov A. V.: Handbook of the integral equations., Second edition. Boca Raton, Chapman & Hall/CRC Press 2008.
DOI: https://doi.org/10.1201/9781420010558
Google Scholar
Ziman J. M.: Electrons and Phonons. The Theory of Transport Phenomena in Solids. Oxford University Press, 2001.
DOI: https://doi.org/10.1093/acprof:oso/9780198507796.001.0001
Google Scholar
Authors
Vyacheslav Gorevlordjainor@gmail.com
Dnipro University of Technology, Department of Information Security and Telecommunications Ukraine
http://orcid.org/0000-0002-9528-9497
Authors
Alexander GusevDnipro University of Technology, Department of Information Security and Telecommunications Ukraine
http://orcid.org/0000-0002-0548-728X
Authors
Valerii KorniienkoDnipro University of Technology, Department of Information Security and Telecommunications Ukraine
http://orcid.org/0000-0002-0800-3359
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