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Comparative Analysis of Composite Barker Codes and Composite Walsh Functions in Data Transmission Systems

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dc.contributor.author SESTACOVA, Tatiana
dc.contributor.author SOROCHIN, Gherman
dc.contributor.author JDANOV, Vladimir
dc.date.accessioned 2022-01-12T12:21:54Z
dc.date.available 2022-01-12T12:21:54Z
dc.date.issued 2021
dc.identifier.citation SESTACOVA, Tatiana, SOROCHIN, Gherman, JDANOV, Vladimir. Comparative Analysis of Composite Barker Codes and Composite Walsh Functions in Data Transmission Systems. In International Journal of Advanced Research in Science, Engineering and Technology. 2021, V. 8, N. 7, pp. 17605-17610. ISSN 2350-0328. en_US
dc.identifier.issn 2350-0328
dc.identifier.uri http://repository.utm.md/handle/5014/18743
dc.description.abstract The article discusses the correlation properties of pseudo-random sequences (PRS) used in the formation of noise-like signals in data transmission systems and systems with code division multiple access. The comparative analysis of correlation properties of the proposed PRSs, carried out by simulation in Matlab, has shown that the autocorrelation functions of composite Barker codes have better autocorrelation properties, but the composite Walsh functions have better cross-correlation characteristics. The possibility of using these signals in the development of systems with code division channels in order to reduce the level of interference of multiple access is justified. en_US
dc.language.iso en en_US
dc.language.iso ro en_US
dc.publisher International Journal of Advanced Research in Science, Engineering and Technology 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 sequences en_US
dc.subject noise-like signals en_US
dc.subject signals en_US
dc.subject autocorrelation function en_US
dc.subject Barker code en_US
dc.subject Walsh function en_US
dc.title Comparative Analysis of Composite Barker Codes and Composite Walsh Functions in Data Transmission Systems en_US
dc.type Article en_US


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