On the linear complexity Ʌ(z) of a periodically repeated random bit sequence z, R. Rueppel proved that, for two extreme cases of the period T, the expected linear complexity E[Ʌ(z)] is almost equal to T, and suggested that E[Ʌ(z)] would be close to T in general [6, pp. 3352] [7, 8]. In this note we obtain bounds of E[Ʌ(z)], as well as bounds of the variance Var[Ʌ(z)], both for the general case of T, and we estimate the probability distribution of Λ(z). Our results on E[Λ(z)] quantify the closeness of E[Λ(z)] and T, in particular, formally confirm R. Rueppel’s suggestion.
CITATION STYLE
Dai, Z. D., & Yang, J. H. (1991). Linear complexity of periodically repeated random sequences. In Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics) (Vol. 547 LNCS, pp. 168–175). Springer Verlag. https://doi.org/10.1007/3-540-46416-6_15
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