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Journal of Automation and Information Sciences
SJR: 0.275 SNIP: 0.59 CiteScore™: 0.8

ISSN 印刷: 1064-2315
ISSN オンライン: 2163-9337

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Journal of Automation and Information Sciences

DOI: 10.1615/JAutomatInfScien.v47.i3.50
pages 57-70

Linear Complexity Profile as a Means of Measuring the Quality of Random Sequences

Lyudmila A. Zavadska
Institute of Physics and Technology of National Technical University of Ukraine "Kiev Polytechnic Institute", Kiev
Maksim A. Semybalamut
Institute of Physics and Technology of National Technical University of Ukraine "Kiev Polytechnic Institute", Kiev

要約

Linear complexity and its properties are an important measure of the quality of random sequences. The NIST statistical test package contains a linear complexity test, however it stops recognizing the linear recurrent sequences even at their smallest distortions. The new tests, based on the properties of linear complexity profile, appear to be more effective while searching for linear dependencies between the elements of a sequence. The following statistical tests are described and experimentally compared in the article: the NIST test, Hamano-Sato-Yamamoto test, and LP-test, which has been proposed by the authors.


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