title: Random search method for estimating the parameters of the emission system signal
metadata.name: dc.contributor.author
metadata.value: Varayun’, Marina I.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Vinogradova, Ekaterina M.
metadata.lang: -
metadata.name: dc.contributor.author
metadata.value: Antonov, Andrei Yu.
metadata.lang: -
metadata.name: dc.date.accessioned
metadata.value: 2021-10-06T10:24:54Z
metadata.lang: -
metadata.name: dc.date.available
metadata.value: 2021-10-06T10:24:54Z
metadata.lang: -
metadata.name: dc.date.issued
metadata.value: 2021-09
metadata.lang: -
metadata.name: dc.identifier.citation
metadata.value: Varayun’ M.I., Vinogradova E.M., Antonov A. Yu. Random search method for estimating the parameters of the emission system signal. Vestnik of Saint Petersburg University. Applied Mathematics. Computer Science. Control Processes, 2021, vol. 17, iss. 3, pp. 228-239.
metadata.lang: en_GB
metadata.name: dc.identifier.other
metadata.value: https://doi.org/10.21638/11701/spbu10.2021.301
metadata.lang: -
metadata.name: dc.identifier.uri
metadata.value: http://hdl.handle.net/11701/33247
metadata.lang: -
metadata.name: dc.description.abstract
metadata.value: 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.
metadata.lang: en_GB
metadata.name: dc.description.sponsorship
metadata.value: This work was supported by the Russian Foundation for Basic Research (project N 20-07-01086).
metadata.lang: en_GB
metadata.name: dc.language.iso
metadata.value: ru
metadata.lang: en_GB
metadata.name: dc.publisher
metadata.value: St Petersburg State University
metadata.lang: en_GB
metadata.name: dc.relation.ispartofseries
metadata.value: Vestnik of St Petersburg University. Applied Mathematics. Computer Science. Control Processes;Volume 17; Issue 3
metadata.lang: -
metadata.name: dc.subject
metadata.value: field electron emission
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: current-voltage characteristic
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: regression model
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: least- squares method
metadata.lang: en_GB
metadata.name: dc.subject
metadata.value: random search method
metadata.lang: en_GB
metadata.name: dc.title
metadata.value: Random search method for estimating the parameters of the emission system signal
metadata.lang: en_GB
metadata.name: dc.type
metadata.value: Article
metadata.lang: en_GB
resources.filename: 228-239.pdf
resources.url: https://dspace.spbu.ru/bitstream/11701/33247/1/228-239.pdf
resources.format: Adobe PDF
resources.size: 894,6 kB