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Regular version of the site
Of all publications in the section: 14
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Article
Шевгунов Т. Я., Ефимов Е. Н., Жуков Д. М. Электросвязь. 2017. № 6. С. 50-57.
Added: Jul 10, 2017
Article
Ефимов Е. Н., Шевгунов Т. Я., Жуков Д. М. Электросвязь. 2018. № 12. С. 43-47.
Added: Feb 5, 2019
Article
Омётов А. Я., Щесняк А. С., Кучерявый Е. А. Электросвязь. 2018. № 1. С. 51-58.
Added: Feb 13, 2018
Article
Родионов И. И. Электросвязь. 2010. № 9. С. 41-43.
Added: Jan 14, 2011
Article
Пирмагомедов Р., Кучерявый Е. А., Глушаков Р. и др. Электросвязь. 2016. Т. 1. С. 47-52.
Added: Jan 30, 2017
Article
Касперская Н. И. Электросвязь. 2011. № 12. С. 26-27.
Added: Dec 20, 2017
Article
Захарова С. С., Лемешко Н. В. Электросвязь. 2014. № 8. С. 42-44.

The article is devoted to the development of a method of selection of conductors, which must be performed in the analysis of emissions radiated interference by simulation in order to reduce the computational cost. The proposed method is part of the theory of virtual certification by electronic means emissions emitted interference. The technique is based on the use of circuit add-ons that allow us to estimate the contribution of the current in each of the conductors of electronic means in the form of radiated interference at a given frequency analysis by performing a circuit simulation.

Added: Feb 27, 2015
Article
Цитович И. И., Сегайер А. Электросвязь. 2009. № 9. С. 54-57.
Added: Dec 18, 2011
Article
Царегородцев А. В., Михайлов В. А., Мырова Л. О. Электросвязь. 2012. № 8. С. 36-39.

The approach to the organization of the hierarchical structure of intelligent system of analysis and evaluation of onboard digital computer system’s resist to destructive electromagnetic effects is offered. The adaptive nature of the levels of the system is determined by using the intelligent tools of fuzzy logic and neural networks for solving the tasks of destructive effects’ classification and clustering on the onboard digital computer system in accordance with the signs of these effects generated by the electromagnetic effect’s sensors.

Added: Mar 17, 2014
Article
Дворников А. А. Электросвязь. 2017. № 5. С. 54-59.

Approach to conversion of QoS quota set related to an overlay network to a quota set supported by a wireless sensor network is proposed. The approach allows to design software and hardware that provide services of overlay channels and overlay networks over a wireless sensor network. The main services running on a base network are unaffected. The approach illustrated by an emergency text message overlay network over LoRaWAN wireless sensor network.

Added: May 31, 2017
Article
Белоусов Ф. А., Шевгунов Т. Я., Жуков Д. М. Электросвязь. 2016. № 10. С. 31-38.

The algorithm for searching the global maximum of the objective function for increasing the speed of operation of a one-stage algorithm for estimating the location of the radio source of a passive distributed wide-band radar system is developed and investigated. The problem is solved by the transition from the universal gradient method of searching for a global maximum to a search of the values ​​of functions over a sufficiently dense grid in the search domain and further refinement by the methods of searching for a local extremum. The condition for choosing the minimum sufficient step of discretization of space is formulated and three strategies for choosing a step are proposed: homogeneous, heterogeneous and adaptive. Estimates of the gain in run-time and the frequency of occurrence of anomalous errors are given.

Added: Jun 2, 2018
Article
Царегородцев А. В., Михайлов В. А., Мырова Л. О. Электросвязь. 2013. № 6. С. 26-30.

The organization of the hierarchical structure of intelligent system of analysis and evaluation of onboard digital computer system’s resist to destructive electromagnetic effects is considered. The adaptive nature of the levels of the system is determined by using the intelligent tools of fuzzy logic and neural networks for solving the tasks of destructive effects’ classification and clustering on the onboard digital computer system in accordance with the signs of these effects generated by the electromagnetic effect’s sensors.There are consideredfollowing scenariosof destructive electromagnetic effects’detection, which based on the analysis of distortion of information flow parameters, and on the basis information detection sensors.

Added: Mar 17, 2014