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The 4-Variance Linear Complexity Distribution with 2n-Periodical Binary Sequences.

Authors :
Wang, Xiao Lin
Zhou, Jian Qin
Source :
Procedia Computer Science; 2019, Vol. 154, p389-399, 11p
Publication Year :
2019

Abstract

In this paper, the method of calculating the k-variance linear complexity distribution with 2<superscript>n</superscript>-periodical sequences by the Games-Chan algorithm and sieve approach is affirmed for its generality. The main idea of this method is to decompose a binary sequence into some subsequences of critical requirements, hence the issue to find k-variance linear complexity distribution with 2<superscript>n</superscript>-periodical sequences becomes a combinatorial problem of these binary subsequences. As a result, we compute the whole calculating formulas on the k-variance linear complexity with 2<superscript>n</superscript>-periodical sequences of linear complexity less than 2<superscript>n</superscript> for k = 4, 5. With combination of results in the whole calculating formulas on the 3-variance linear complexity with 2<superscript>n</superscript>-periodical binary sequences of linear complexity 2<superscript>n</superscript>, we completely solve the problem of the calculating function distributions of 4-variance linear complexity with 2<superscript>n</superscript>-periodical sequences elegantly, which significantly improves the results in the relating references. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
18770509
Volume :
154
Database :
Supplemental Index
Journal :
Procedia Computer Science
Publication Type :
Academic Journal
Accession number :
137493258
Full Text :
https://doi.org/10.1016/j.procs.2019.06.056