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Description of Binary Sequences Based on the Interval Linear Complexity Profile

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Sequences and their Applications

Part of the book series: Discrete Mathematics and Theoretical Computer Science ((DISCMATH))

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Summary

We consider the problem of partial approximation of binary sequences by the outputs of linear feedback shift registers. A generalization of the linear complexity profiles of binary sequences leads to a sequence that is regarded as the profile of interval linear complexity. This concept is useful if we want to identify all fragments of the given binary sequence having length at least 2m which can be described by m + n bits, where n < m. We show that a fixed j-th component belongs to such a fragment with probability ~ 1/3 in the ensemble of fair coin-tossing sequences. We also apply the interval linear complexity approach to identify corrupted positions of the sequence generated by a linear feedback shift register with known feedback polynomial, where “corruption” of the sequence means either deletion, insertion or inversion of its components.

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References

  1. Rueppel, R. A. (1991) Stream ciphers. In: Contemporaxy Cryptology (G. J. Simmons, Ed.). New York: IEEE Press. 65–134.

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  2. Massey, J. L. (1969) Shift register synthesis and BCH decoding. IEEE Trans. Inform. Theory. 15 122–127.

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  3. Balakirsky V.B. (1995) On interval linear complexity of binary sequences SFB- 343 “Diskrete Strukturen in der Mathematik” Preprint 97–014. Bielefeld www.mathematik.uni-bielefeld.de/vbal/ Proc. 1995 IEEE International Symposium on Information Theory Whistler, British Columbia, Canada. 490.

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© 2002 Springer-Verlag London

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Balakirsky, V.B. (2002). Description of Binary Sequences Based on the Interval Linear Complexity Profile. In: Helleseth, T., Kumar, P.V., Yang, K. (eds) Sequences and their Applications. Discrete Mathematics and Theoretical Computer Science. Springer, London. https://doi.org/10.1007/978-1-4471-0673-9_7

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  • DOI: https://doi.org/10.1007/978-1-4471-0673-9_7

  • Publisher Name: Springer, London

  • Print ISBN: 978-1-85233-529-8

  • Online ISBN: 978-1-4471-0673-9

  • eBook Packages: Springer Book Archive

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