Construction of the Karhunen–Loève model for an input Gaussian process in a linear system by using the output process
Authors:
Yu. V. Kozachenko and I. V. Rozora
Translated by:
N. N. Semenov
Journal:
Theor. Probability and Math. Statist. 99 (2019), 113-124
MSC (2010):
Primary 60G15, 68U20, 60K10
DOI:
https://doi.org/10.1090/tpms/1084
Published electronically:
February 27, 2020
MathSciNet review:
3908660
Full-text PDF
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Additional Information
Abstract: We study a model of the input signal in a linear system for the case where the impulse response function is known. The output signal is the system response. We construct a model with the help of the Karhunen–Loève expansion that approximates the input process by using the output process with a given accuracy and reliability in the Banach space $C ([0, T])$. A partial case is considered where the input process is the Brownian motion.
References
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References
- D. Brillinger, Time Series: Data Analysis and Theory, San Francisco, Holden-Day, 1981. MR 595684
- V. Buldygin and Yu. Kozachenko, Metric characterization of random variables and random processes, TViMS, Kiev, 1998; English transl., Amer. Math. Soc., Providence, Rhode Island, 2000. MR 1743716
- I. Gikhman, A. Skorokhod, and M. Yadrenko, Probability Theory and Mathematical Statistics, “Vyshcha Shkola”, Kyiv, 1988. (Russian) MR 1445513
- S. M. Ermakov and G. A. Mikhaĭlov, Statistical Modeling, “Nauka”, Moscow, 1982. (Russian) MR 705787
- Yu. Kozachenko and A. Olenko, Aliasing-truncation errors in sampling approximations of sub-Gaussian signals, IEEE Trannsactions on Information Theory 62 (2016), no. 10, 5831–5838. MR 3552426
- Yu. Kozachenko and A. Olenko, Whittaker–Kotel’nikov–Shannon approximation of $\varphi$-sub-Gaussian random processes, J. Math. Anal. Appl. 443 (2016), no. 2, 926–946. MR 3514327
- Yu. Kozachenko, A. Olenko, and O. Polosmak, Uniform convergence of compactly supported wavelet expansions of Gaussian random processes, Comm. Statist. Theory Methods 43 (2014), no. 10–12, 2549–2562. MR 3217832
- Yu. Kozachenko, A. Pashko, and I. Rozora, Simulation of Stochastic Processes and Fields, “Zadruga”, Kyiv, 2007. (Ukrainian)
- Yu. Kozachenko, O. Pogorilyak, I. Rozora, and A. Tegza, Simulation of Stochastic Processes with Given Accuracy and Reliability, ISTE/Elsevier, London/Oxford, 2016. MR 3644192
- Yu. Kozachenko and I. Rozora, Simulation of Gaussian stochastic processes, Random Oper. Stoch. Equ. 11 (2003), no. 3, 275–296. MR 2009187
- Yu. Kozachenko and I. Rozora, Accuracy and reliability of models of stochastic processes of the space $Sub_\varphi (\Omega )$, Teor. Imovir. Mat. Stat. 71 (2004), 93–104; English transl. in Theory Probab. Math. Statist. 71 (2005), 105–117. MR 2144324
- Yu. Kozachenko and I. Rozora, On cross-correlogram estimators of impulse response function, Teor. Imovir. Mat. Stat. 93 (2015), 75–86; English transl. in Theory Probab. Math. Statist. 93 (2016), 79–91. MR 3553441
- Yu. Kozachenko and I. Rozora, A criterion for testing hypothesis about impulse response function, Stat. Optim. Inf. Comput. 4 (2016), no. 3, 214–232. MR 3556027
- Yu. Kozachenko, I. Rozora, and Ye. Turchyn, On an expansion of random processes in series, Random Oper. Stoch. Equ. 15 (2007), 15–33. MR 2316186
- Yu. Kozachenko, I. Rozora, and Ye. Turchyn, Properties of some random series, Comm. Statist. Theory Methods 40 (2011), no. 19–20, 3672–3683. MR 2860766
- Yu. Kozachenko, T. Sottinen, and O. Vasylyk, Simulation of weakly self-similar stationary increment $Sub_\varphi (\Omega )$-processes: a series expansion approach, Methodol. Comput. Appl. Probab. 7 (2005), 379–400. MR 2210587
- P. Kramer, O. Kurbanmuradov, and K. Sabelfeld, Comparative analysis of multiscale Gaussian random field simulation algorithms, J. Comput. Phys. 226 (2007), 897–924. MR 2356863
- G. Mikhaĭlov and A. Voĭtishek, Numerical Statistical Modeling, “Academiya”, Moscow, 2006. (Russian)
- A. A. Pashko and I. V. Rozora, Accuracy of simulation for the network traffic in the form of fractional Brownian motion, 14-th International Conference on Advanced Trends in Radioelectronics, Telecommunications and Computer Engineering, TCSET, Proceedings, April 2018, pp. 840–845.
- S. Prigarin, The methods of numerical simulation for stochastic processes and fields, IVMiMG, Novosibirsk, 2005. (Russian)
- I. V. Rozora, Simulation of Gaussian stochastic process with respect to derivative, Prykladna statystyka, actuarna and finansova matematyka 1–2 (2008), 139–147. (Ukrainian)
- I. V. Rozora, Simulation accuracy of strictly $\varphi$-Sub-Gaussian stochastic processes in the space $L_2[0,T]$, Obchyslyuvalna ta prykladna matematyka 2 (2009), no. 98, 68–76. (Ukrainian)
- I. V. Rozora, Statistical hypothesis testing for the shape of impulse response function, Comm. Statist. Theory Methods 47 (2018), no. 6, 1459–1474. MR 3756253
- I. Rozora and M. Lyzhechko, On the modeling of linear system input stochastic processes with given accuracy and reliability, Monte Carlo Methods Appl. 24 (2018), no. 2, 129–137. MR 3808323
- K. Sabelfeld, Monte Carlo Methods in Boundary-Value Problems, “Nauka”, Novosibirsk, 1989. (Russian) MR 1007305
- F. G. Tricomi, Integral Equations, Interscience Publishers, Inc., New York–London, 1957. MR 0094665
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Additional Information
Yu. V. Kozachenko
Affiliation:
Department of Probability Theory, Statistics, and Actuarial Mathematics, Faculty for Mechanics and Mathematics, Kyiv Taras Shevchenko National University, Volodymyrs’ka Street, 64/13, Kyiv 01601, Ukraine
Email:
yvk@univ.kiev.ua
I. V. Rozora
Affiliation:
Department of Applied Statistics, Faculty for Computer Science and Cybernetics, Kyiv Taras Shevchenko National University, Academician Glushkov, 4d, Kyiv 03680, Ukraine
Email:
irozora@bigmir.net
Keywords:
Modeling,
Gaussian process,
Karhunen–Loève expansion,
accuracy and reliability
Received by editor(s):
July 30, 2018
Published electronically:
February 27, 2020
Article copyright:
© Copyright 2020
American Mathematical Society