Bivariate fuzzy transform based on tensor product of two polynomial spaces in analysis of correlation function

Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F61988987%3A17610%2F17%3AA1801QIJ" target="_blank" >RIV/61988987:17610/17:A1801QIJ - isvavai.cz</a>
Result on the web
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DOI - Digital Object Identifier
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Result language
angličtina
Original language name
Bivariate fuzzy transform based on tensor product of two polynomial spaces in analysis of correlation function
Original language description
This paper introduces a new type of fuzzy transformation of higher degree applied to bivariate complex-valued functions, which is based on the tensor product of two polynomial spaces. We demonstrate that the new type of fuzzy transform is efficient in the study of random processes, namely, in the analysis of correlation functions of random processes after the application of higher degree fuzzy transform.
Czech name
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Czech description
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Project
Result was created during the realization of more than one project. More information in the Projects tab.
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)<br>S - Specificky vyzkum na vysokych skolach

Publication year
2017
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Article name in the collection
Proceeding of the 20th Czech-Japan Seminar on Data Analysis and Decision Making under Uncertainty
ISBN
978-80-7464-932-5
ISSN
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e-ISSN
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Number of pages
10
Pages from-to
144-153
Publisher name
University of Ostrava
Place of publication
Ostrava
Event location
Pardubice
Event date
Sep 17, 2017
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
000418391500017

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