Further Investigations on Nonlinear Complexity of Periodic Binary Sequences
Qin Yuan, Chunlei Li, Xiangyong Zeng, Tor Helleseth, and Debiao He

TL;DR
This paper explores how circular shifts influence the nonlinear complexity of finite binary sequences and introduces algorithms to generate all periodic sequences with a specified nonlinear complexity.
Contribution
It establishes a relation between nonlinear complexities of finite and periodic binary sequences and proposes algorithms for sequence generation based on this relation.
Findings
Circular shifts affect nonlinear complexity of binary sequences
A explicit relation between finite and periodic sequence complexities is revealed
Algorithms for generating sequences with prescribed nonlinear complexity are proposed
Abstract
Nonlinear complexity is an important measure for assessing the randomness of sequences. In this paper we investigate how circular shifts affect the nonlinear complexities of finite-length binary sequences and then reveal a more explicit relation between nonlinear complexities of finite-length binary sequences and their corresponding periodic sequences. Based on the relation, we propose two algorithms that can generate all periodic binary sequences with any prescribed nonlinear complexity.
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Taxonomy
TopicsCoding theory and cryptography · Cellular Automata and Applications · Computability, Logic, AI Algorithms
