2005
DOI: 10.1007/11423461_25
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Multi-continued Fraction Algorithm and Generalized B-M Algorithm over F 2

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Cited by 12 publications
(15 citation statements)
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“…This form is given for all q, and the calculations are independent of q. Since we are using only the degrees of the partial denominators, not their precise coefficients, and require only the knowledge of = 0 vs. = 0, the BDM as derived from [4] remains valid for all q.…”
Section: Diophantine Approximation Of Multisequencesmentioning
confidence: 98%
See 2 more Smart Citations
“…This form is given for all q, and the calculations are independent of q. Since we are using only the degrees of the partial denominators, not their precise coefficients, and require only the knowledge of = 0 vs. = 0, the BDM as derived from [4] remains valid for all q.…”
Section: Diophantine Approximation Of Multisequencesmentioning
confidence: 98%
“…We start with the mSCFA by Dai et al [3,4]. The m-SCFA can be described in two ways: In [4], the calculations are made on a symbol-by-symbol basis, considering the so-called "discrepancy" (m, n) ∈ F q at every step.…”
Section: Diophantine Approximation Of Multisequencesmentioning
confidence: 99%
See 1 more Smart Citation
“…This approach has also provided a disproof to one of the conjectures made by Xing in 2000. Instead, a new sufficient and necessary condition for judging when a multi-dimensional sequence is d-perfect is given, and a sufficient and necessary condition is given for judging when the conjecture of Xing about the d-perfect property is true [4]. Now our theory about the multi-dimensional fractions has become a fundamental tool in the study of multi-dimensional sequences.…”
Section: Progress On Fundamentals Of Cryptographymentioning
confidence: 98%
“…In this paper we study this problem. In the light of multi-continued fraction theories [5][6][7] , we first transform it into a counting problem on multi-strict continued fractions (m-SCFs, in short), and then make a classification and counting for m-SCFs, which are corresponding to multi-sequences of multiplicity m and length n . As an application, we obtain the linear complexity distributions and expectations of multi-sequences of any given length n and multiplicity m less than 12.…”
Section: Introductionmentioning
confidence: 99%