“…The converse also holds. For any f (x) and g(x) in F 2 [x] satisfying (12), there exists a periodic sequence s for which (11) holds. The requirement that gcd(g(x), f (x)) = 1 is not strictly necessary.…”
Section: Preliminariesmentioning
confidence: 99%
“…while c / ∈ S or d / ∈ S do (1, 13), (13, 5), (5, 10), (10,11), (11,9), (9, 2), (2, 4), (4, 7), (7,14), (14, 3), (3,6), (6,12), (12,8), (8,15).…”
Section: Hamiltonian Cycles By Two Greedy Algorithmsmentioning
confidence: 99%
“…Example 5. A randomized instance for n = 4 picks Ψ = (6, 3, 9, 13, 5, 10, 11) • (4, 7, 1, 2) • (14,12,8,15).…”
Section: More Hamiltonian Cycles By Cycle Joiningmentioning
confidence: 99%
“…Example 7. Let H ∈ Γ 4 be given in terms of its successive vertices (1,13,5,10,11,9,2,4,7,14,3,6,12,8,15).…”
Section: The Canonical Generator Polynomialmentioning
confidence: 99%
“…An early work on this topic was done by Mayhew and Golomb in [9]. Subsequent works by Kyureghyan in [10], by Tan, Xu, and Qi in [11], and a more recent one by Wang, Cheng, Wang, and Qi in [12] have not managed to supply any systematic method to determine the minimal polynomials.…”
A binary modified de Bruijn sequence is an infinite and periodic binary sequence derived by removing a zero from the longest run of zeros in a binary de Bruijn sequence. The minimal polynomial of the modified sequence is its unique least-degree characteristic polynomial. Leveraging on a recent characterization, we devise a novel general approach to determine the minimal polynomial. We translate the characterization into a problem of identifying a Hamiltonian cycle in a specially constructed graph. Along the way, we demonstrate the usefullness of computational tools from the cycle joining method in the modified setup.
“…The converse also holds. For any f (x) and g(x) in F 2 [x] satisfying (12), there exists a periodic sequence s for which (11) holds. The requirement that gcd(g(x), f (x)) = 1 is not strictly necessary.…”
Section: Preliminariesmentioning
confidence: 99%
“…while c / ∈ S or d / ∈ S do (1, 13), (13, 5), (5, 10), (10,11), (11,9), (9, 2), (2, 4), (4, 7), (7,14), (14, 3), (3,6), (6,12), (12,8), (8,15).…”
Section: Hamiltonian Cycles By Two Greedy Algorithmsmentioning
confidence: 99%
“…Example 5. A randomized instance for n = 4 picks Ψ = (6, 3, 9, 13, 5, 10, 11) • (4, 7, 1, 2) • (14,12,8,15).…”
Section: More Hamiltonian Cycles By Cycle Joiningmentioning
confidence: 99%
“…Example 7. Let H ∈ Γ 4 be given in terms of its successive vertices (1,13,5,10,11,9,2,4,7,14,3,6,12,8,15).…”
Section: The Canonical Generator Polynomialmentioning
confidence: 99%
“…An early work on this topic was done by Mayhew and Golomb in [9]. Subsequent works by Kyureghyan in [10], by Tan, Xu, and Qi in [11], and a more recent one by Wang, Cheng, Wang, and Qi in [12] have not managed to supply any systematic method to determine the minimal polynomials.…”
A binary modified de Bruijn sequence is an infinite and periodic binary sequence derived by removing a zero from the longest run of zeros in a binary de Bruijn sequence. The minimal polynomial of the modified sequence is its unique least-degree characteristic polynomial. Leveraging on a recent characterization, we devise a novel general approach to determine the minimal polynomial. We translate the characterization into a problem of identifying a Hamiltonian cycle in a specially constructed graph. Along the way, we demonstrate the usefullness of computational tools from the cycle joining method in the modified setup.
Since the introduction of the Kolmogorov complexity of binary sequences in the 1960s, there have been significant advancements on the topic of complexity measures for randomness assessment, which are of fundamental importance in theoretical computer science and of practical interest in cryptography. This survey reviews notable research from the past four decades on the linear, quadratic and maximum-order complexities of pseudo-random sequences, and their relations with Lempel–Ziv complexity, expansion complexity, 2-adic complexity and correlation measures.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.