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Comparative analysis of pseudorandom sequences using modified Barker codes and M – sequences of the same length

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dc.contributor.author SESTACOVA, Tatyana
dc.contributor.author SOROCHIN, Gherman
dc.date.accessioned 2022-01-13T11:25:47Z
dc.date.available 2022-01-13T11:25:47Z
dc.date.issued 2020
dc.identifier.citation SESTACOVA, Tatyana, SOROCHIN, Gherman. Comparative analysis of pseudorandom sequences using modified Barker codes and M – sequences of the same length. In: Mathematical Modeling. 2020, V. 4, N. 2, pp. 45-50. ISSN 2603-2929, 2535-0986. en_US
dc.identifier.issn 2603-2929
dc.identifier.issn 2535-0986
dc.identifier.uri https://stumejournals.com/journals/mm/2020/2/45
dc.identifier.uri http://repository.utm.md/handle/5014/18749
dc.description.abstract The paper discusses the correlation properties of pseudo-random sequences (PRS) used to form noise-like signals in high-speed data transmission systems. The most frequently used pseudo-random sequences are considered: modified Barker codes, M-sequences having the same length. In the Matlab medium a comparative analysis of the correlation properties of the PRS is done. It is shown, that modified Barker codes have unsatisfactory correlation properties. It is proved, that the use of M - sequences allows to obtain signals with the required correlation properties for communication systems, including systems with code division of channels. The directions of further research are 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 noise-like signals en_US
dc.subject signals en_US
dc.subject pseudo-random sequences en_US
dc.subject sequences en_US
dc.subject Barker codes en_US
dc.subject autocorrelation function en_US
dc.title Comparative analysis of pseudorandom sequences using modified Barker codes and M – sequences of the same length en_US
dc.type Article en_US


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