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Analysis of the correlation properties of direct and inverse composite Walsh functions

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dc.contributor.author SESTAСOVA, Tatiana
dc.contributor.author SOROCHIN, Gherman
dc.contributor.author JDANOV, Vladimir
dc.date.accessioned 2022-01-13T09:26:59Z
dc.date.available 2022-01-13T09:26:59Z
dc.date.issued 2021
dc.identifier.citation SESTAСOVA, Tatiana, SOROCHIN, Gherman, JDANOV, Vladimir. Analysis of the correlation properties of direct and inverse composite Walsh functions. In: Mathematical Modeling. 2021, V. 5, N. 1, pp. 3-7. ISSN 2929, 2535-0986. en_US
dc.identifier.issn 2603-2929
dc.identifier.issn 2535-0986
dc.identifier.uri http://repository.utm.md/handle/5014/18746
dc.description.abstract The article discusses the correlation properties of pseudo-random sequences (PRS) used in the formation of noise-like signals in code division coupled communication systems. The direct and inverse composite Walsh functions are considered. Comparative analysis of the correlation properties of the PRS is carried out in the Matlab medium. It is shown that the correlation properties of certain ensembles of composite Walsh functions are independent of the time shift. The possibility of using these signals in the development of systems with channels code separation in order to reduce the level of interference of multiple access is justified. Directions for further research have been determined. en_US
dc.language.iso en en_US
dc.publisher Scientific Technical Union of Mechanical Engineering "Industry-4.0", Bulgaria en_US
dc.rights Attribution-NonCommercial-NoDerivs 3.0 United States *
dc.rights.uri http://creativecommons.org/licenses/by-nc-nd/3.0/us/ *
dc.subject pseudo-random sequences en_US
dc.subject sequences en_US
dc.subject noise-like signals en_US
dc.subject signals en_US
dc.subject autocorrelation function en_US
dc.subject Walsh function en_US
dc.title Analysis of the correlation properties of direct and inverse composite Walsh functions en_US
dc.type Article en_US


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