Noise influenced transmission line model via partial stochastic differential equations
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216305%3A26220%2F19%3APU132648" target="_blank" >RIV/00216305:26220/19:PU132648 - isvavai.cz</a>
Result on the web
<a href="http://dx.doi.org/10.1109/TSP.2019.8769101" target="_blank" >http://dx.doi.org/10.1109/TSP.2019.8769101</a>
DOI - Digital Object Identifier
<a href="http://dx.doi.org/10.1109/TSP.2019.8769101" target="_blank" >10.1109/TSP.2019.8769101</a>
Alternative languages
Result language
angličtina
Original language name
Noise influenced transmission line model via partial stochastic differential equations
Original language description
In this paper we introduce stochastic ordinary and stochastic partial differential equations and apply the theory to the model of transmission line. First we consider transmission line with external sources affected by randomness. Here the theory of ordinary stochastic differential equations is applied. We illustrate the solution by an example, where we simulate the stochastic responses of the system. While considering stochastic effects inside of the transmission line, we have to use the stochastic partial differential equation model. Here we present the theoretical background of the situation.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
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OECD FORD branch
20201 - Electrical and electronic engineering
Result continuities
Project
<a href="/en/project/GA19-22248S" target="_blank" >GA19-22248S: Deterministic, chaotic and stochastic phenomena in the sub-micron integrated structures</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2019
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the 42th International Conference on Telecommunications and Signal Processing
ISBN
978-1-7281-1864-2
ISSN
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e-ISSN
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Number of pages
4
Pages from-to
492-496
Publisher name
Brno University of Technology
Place of publication
Budapest, Hungary
Event location
Budapest, Hungary
Event date
Jul 1, 2019
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000493442800106