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Computation of the k-error linear complexity of binary sequences with period 2n

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Part of the book series: Lecture Notes in Computer Science ((LNCS,volume 1179))

Abstract

The k-error linear complexity(k-LC) of sequences is a very natural and useful generalization of the linear complexity(LC) which has been conveniently used as a measure of unpredictability of pseudorandom sequences, i.e., difficulty in recovering more of a sequence from a short, captured segment. However the effective method for computing the k-LC has been known only for binary sequences with period 2n (Stamp and Martin, 1993). This paper gives an alternative derivation of the Stamp-Martin algorithm. Our method can compute not only k-LC but also an error vector with Hamming weight ≤k which gives the k-LC.

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References

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Joxan Jaffar Roland H. C. Yap

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© 1996 Springer-Verlag Berlin Heidelberg

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Kaida, T., Uehara, S., Imamura, K. (1996). Computation of the k-error linear complexity of binary sequences with period 2n . In: Jaffar, J., Yap, R.H.C. (eds) Concurrency and Parallelism, Programming, Networking, and Security. ASIAN 1996. Lecture Notes in Computer Science, vol 1179. Springer, Berlin, Heidelberg. https://doi.org/10.1007/BFb0027791

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  • DOI: https://doi.org/10.1007/BFb0027791

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  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-540-62031-0

  • Online ISBN: 978-3-540-49626-7

  • eBook Packages: Springer Book Archive

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