Standard

Random search method for estimating the parameters of the emission system signal. / Varayun, Marina I.; Vinogradova, Ekaterina M.; Antonov, Andrei Yu.

в: Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya, Том 17, № 3, 2021, стр. 228-239.

Результаты исследований: Научные публикации в периодических изданиях › статья › Рецензирование

Harvard

Varayun, MI, Vinogradova, EM & Antonov, AY 2021, 'Random search method for estimating the parameters of the emission system signal', Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya, Том. 17, № 3, стр. 228-239. https://doi.org/10.21638/11701/SPBU10.2021.301

APA

Varayun, M. I., Vinogradova, E. M., & Antonov, A. Y. (2021). Random search method for estimating the parameters of the emission system signal. Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya, 17(3), 228-239. https://doi.org/10.21638/11701/SPBU10.2021.301

Vancouver

Varayun MI, Vinogradova EM, Antonov AY. Random search method for estimating the parameters of the emission system signal. Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya. 2021;17(3):228-239. https://doi.org/10.21638/11701/SPBU10.2021.301

Author

Varayun, Marina I. ; Vinogradova, Ekaterina M. ; Antonov, Andrei Yu. / Random search method for estimating the parameters of the emission system signal. в: Vestnik Sankt-Peterburgskogo Universiteta, Prikladnaya Matematika, Informatika, Protsessy Upravleniya. 2021 ; Том 17, № 3. стр. 228-239.

BibTeX

@article{9734f3c62a274c7a819303c48b75f8af,
title = "Random search method for estimating the parameters of the emission system signal",
abstract = "Within the framework of a computer statistical experiment, the test problem of identifying the parameters of a field electron emission signal using a regression model based on the Fowler - Nordheim law is considered. Two approaches to determining the parameter estimates are used in the work: ordinary least squares and random search with training. It is shown that the random search error can be neglected if, for the considered ratios of the noise level to the signal power, the number of statistical tests is approximately 103. The result allows us to expand the class of functionals used to identify the response without changing the method. The article notes the advantages of the random search method for the problem under consideration and the prospects of its applicability to tasks in a more general setting.",
keywords = "Current-voltage characteristic, Field electron emission, Least-squares method, Random search method, Regression model",
author = "Varayun, {Marina I.} and Vinogradova, {Ekaterina M.} and Antonov, {Andrei Yu}",
note = "Publisher Copyright: {\textcopyright} 2021 Saint Petersburg State University. All rights reserved.",
year = "2021",
doi = "10.21638/11701/SPBU10.2021.301",
language = "English",
volume = "17",
pages = "228--239",
journal = " ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ",
issn = "1811-9905",
publisher = "Издательство Санкт-Петербургского университета",
number = "3",

}

RIS

TY - JOUR

T1 - Random search method for estimating the parameters of the emission system signal

AU - Varayun, Marina I.

AU - Vinogradova, Ekaterina M.

AU - Antonov, Andrei Yu

N1 - Publisher Copyright: © 2021 Saint Petersburg State University. All rights reserved.

PY - 2021

Y1 - 2021

N2 - Within the framework of a computer statistical experiment, the test problem of identifying the parameters of a field electron emission signal using a regression model based on the Fowler - Nordheim law is considered. Two approaches to determining the parameter estimates are used in the work: ordinary least squares and random search with training. It is shown that the random search error can be neglected if, for the considered ratios of the noise level to the signal power, the number of statistical tests is approximately 103. The result allows us to expand the class of functionals used to identify the response without changing the method. The article notes the advantages of the random search method for the problem under consideration and the prospects of its applicability to tasks in a more general setting.

AB - Within the framework of a computer statistical experiment, the test problem of identifying the parameters of a field electron emission signal using a regression model based on the Fowler - Nordheim law is considered. Two approaches to determining the parameter estimates are used in the work: ordinary least squares and random search with training. It is shown that the random search error can be neglected if, for the considered ratios of the noise level to the signal power, the number of statistical tests is approximately 103. The result allows us to expand the class of functionals used to identify the response without changing the method. The article notes the advantages of the random search method for the problem under consideration and the prospects of its applicability to tasks in a more general setting.

KW - Current-voltage characteristic

KW - Field electron emission

KW - Least-squares method

KW - Random search method

KW - Regression model

UR - http://www.scopus.com/inward/record.url?scp=85119054275&partnerID=8YFLogxK

U2 - 10.21638/11701/SPBU10.2021.301

DO - 10.21638/11701/SPBU10.2021.301

M3 - Article

AN - SCOPUS:85119054275

VL - 17

SP - 228

EP - 239

JO - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ

JF - ВЕСТНИК САНКТ-ПЕТЕРБУРГСКОГО УНИВЕРСИТЕТА. ПРИКЛАДНАЯ МАТЕМАТИКА. ИНФОРМАТИКА. ПРОЦЕССЫ УПРАВЛЕНИЯ

SN - 1811-9905

IS - 3

ER -

ID: 91187891