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Asymptotic Behavior of Normalized Linear Complexity of Multi-sequences

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Sequences and Their Applications - SETA 2004 (SETA 2004)

Part of the book series: Lecture Notes in Computer Science ((LNTCS,volume 3486))

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Abstract

Asymptotic behavior of the normalized linear complexity \(\frac{L_{\b{s}}(n)}{n}\) of a multi-sequence s̱ is studied in terms of its multidimensional continued fraction expansion, where \(L_{\b{s}}(n)\) is the linear complexity of the length n prefix of s̱ and defined to be the length of the shortest multi-tuple linear feedback shift register which generates the length n prefix of s̱. A formula for \(\lim \sup _{n\rightarrow\infty}\frac{L_{\b{s}}(n)}{n}\) together with a lower bound, and a formula for \(\lim \inf_{n\rightarrow\infty}\frac{L_{\b{s}}(n)}{n}\) together with an upper bound are given. A necessary and sufficient condition for the existence of \(\lim_{n\rightarrow\infty}\frac{L_{\b{s}}(n)}{n}\) is also given.

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Dai, Z., Imamura, K., Yang, J. (2005). Asymptotic Behavior of Normalized Linear Complexity of Multi-sequences. In: Helleseth, T., Sarwate, D., Song, HY., Yang, K. (eds) Sequences and Their Applications - SETA 2004. SETA 2004. Lecture Notes in Computer Science, vol 3486. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11423461_7

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  • DOI: https://doi.org/10.1007/11423461_7

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-26084-4

  • Online ISBN: 978-3-540-32048-7

  • eBook Packages: Computer ScienceComputer Science (R0)

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