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The 4-Variance Linear Complexity Distribution with 2n-Periodical Binary Sequences.
- 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]
- Subjects :
- BINARY sequences
DISTRIBUTION (Probability theory)
COMBINATORICS
SIEVES
Subjects
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