Zobrazeno 1 - 10
of 32
pro vyhledávání: '"A. V. Ausiannikau"'
Autor:
A. V. Ausiannikau, V. M. Kozel
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 21, Iss 5, Pp 13-19 (2023)
The article discusses a technique for constructing an optimal histogram filter and its modifications, taking into account a priori information about the expected probability distribution density. The main idea of constructing a histogram filter is to
Externí odkaz:
https://doaj.org/article/40c494eff96b43b89c5cbfbf2eb2271e
Autor:
A. V. Ausiannikau, V. M. Kozel
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 20, Iss 8, Pp 42-50 (2023)
A histogram filter with smoothing parameter settings is discussed in the article. The histogram filter can be effectively applied in the problems of identification (recognition) of distribution laws for small amounts of data. The smoothing parameter
Externí odkaz:
https://doaj.org/article/7c0b1105ab704609b6c5a0521df22f4a
Autor:
A. V. Ausiannikau, V. M. Kozel
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 19, Iss 4, Pp 13-20 (2021)
The paper proposes a histogram estimate of the probability density based on fuzzy data belonging to a grouping interval. A methodology for constructing a histogram estimate using a histogram smoothing filter is presented. The technique of constructin
Externí odkaz:
https://doaj.org/article/89932a80edc943de8912ab22f0059245
Autor:
A. V. Ausiannikau
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 5, Pp 58-64 (2019)
Model of generalized law of distribution of Sechk and its researched application in statistical radio engineering. Base attributes and statisticians of distribution are given. Algorithms of point estimation of parameter of shift for known and unknown
Externí odkaz:
https://doaj.org/article/0e157f4e5d984fc68ad1e6c45dffa41e
Autor:
A. V. Ausiannikau
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 4, Pp 43-49 (2019)
The task of interval prediction of non-stationary processes of stochastic differential equations described by models with variable parameters is considered. Algorithms of interval prediction in the discrete and continuous time are received. Questions
Externí odkaz:
https://doaj.org/article/1ff9461817e143aa9c3520cc0d08bac3
Autor:
A. V. Ausiannikau, V. M. Kozel
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 8, Pp 48-54 (2019)
The definition of one-step information predictability stochastic process in discrete time is given. The influence of the accumulation process data on its informational predictability is investigated. Relations connecting the predictability of the who
Externí odkaz:
https://doaj.org/article/cabf7673d98d4a238d443ddb06b747a6
Autor:
A. V. Ausiannikau
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 6, Pp 48-54 (2019)
The definition of information predictability stochastic process and its parameters is given in the article. Obtain relations connecting the predictability of a stochastic process as a whole predictability of its individual parameters are recieved. Th
Externí odkaz:
https://doaj.org/article/e72aaeecb0d14763b76bd124b02479f8
Autor:
A. V. Ausiannikau, V. M. Kozel
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 5, Pp 29-34 (2019)
The necessary theoretical information for algorithms estimating unknown parameters useful for background noise nonstationary stochastic processes is given. The relationship of information predictability stochastic process and evaluation is shown.
Externí odkaz:
https://doaj.org/article/0b59ca1a83aa498f85a5c40dadd8ea79
Autor:
A. V. Ausiannikau
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 7, Pp 71-77 (2019)
The task of interval prediction of non-stationary processes of stochastic differential equations described by models is considered. Predictability of such processes is defined. Algorithms of interval prediction in the discrete and continuous time are
Externí odkaz:
https://doaj.org/article/02ab67bcb46b4b5c8dec5380a9f2cfc0
Autor:
A. V. Ausiannikau, V. M. Kozel
Publikováno v:
Doklady Belorusskogo gosudarstvennogo universiteta informatiki i radioèlektroniki, Vol 0, Iss 8, Pp 23-29 (2019)
The analysis of the robust properties of the generalized sechk-distribution is made. The possibility of producing natural-reduced maximum likelihood estimates of the offset parameter of the distribution is shown. Time-dependent density of the process
Externí odkaz:
https://doaj.org/article/232ddba2e3784fa6b342fe42c08d543d