z-logo
open-access-imgOpen Access
Complete characterization of the first descent point distribution for the <i>k</i>-error linear complexity of 2<sup><i>n</i></sup>-periodic binary sequences
Author(s) -
Jianqin Zhou,
Wanquan Liu,
Xifeng Wang
Publication year - 2017
Publication title -
advances in mathematics of communications
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.601
H-Index - 26
eISSN - 1930-5346
pISSN - 1930-5338
DOI - 10.3934/amc.2017036
Subject(s) - mathematics , binary number , combinatorics , computational complexity theory , discrete mathematics , time complexity , algorithm , arithmetic
In this paper, a new constructive approach of determining the first descent point distribution for the \begin{document}$k$\end{document} -error linear complexity of \begin{document}$2^n$\end{document} -periodic binary sequences is developed using the sieve method and Games-Chan algorithm. First, the linear complexity for the sum of two sequences with the same linear complexity and minimum Hamming weight is completely characterized and this paves the way for the investigation of the \begin{document}$k$\end{document} -error linear complexity. Second we derive a full representation of the first descent point spectrum for the \begin{document}$k$\end{document} -error linear complexity. Finally, we obtain the complete counting functions on the number of \begin{document}$2^n$\end{document} -periodic binary sequences with given \begin{document}$2^m$\end{document} -error linear complexity and linear complexity \begin{document}$2^n-(2^{i_1}+2^{i_2}+···+2^{i_m})$\end{document} , where \begin{document}$0≤ i_1 In summary, we depict a full picture on the first descent point of the \begin{document}$k$\end{document} -error linear complexity for \begin{document}$2^n$\end{document} -periodic binary sequences and this will help us construct some sequences with requirements on linear complexity and \begin{document}$k$\end{document} -error complexity.

The content you want is available to Zendy users.

Already have an account? Click here to sign in.
Having issues? You can contact us here
Accelerating Research

Address

John Eccles House
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom