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On the Generalized Lauder-Paterson Algorithm and Profiles of the k-Error Linear Complexity for Exponent Periodic 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

The Lauder-Paterson algorithm gives the profile of the k-error linear complexity for a binary sequence with period 2n. In this paper a generalization of the Lauder-Paterson algorithm into a sequence over GF(p m) with period p n, where p is a prime and m, n are positive integers, is proposed. We discuss memory and computation complexities of proposed algorithm. Moreover numerical examples of profiles for balanced binary and ternary exponent periodic sequences, and proposed algorithm for a sequence over GF(3) with period 9(= 32) are given.

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Authors and Affiliations

  1. Department of Information and Electronic Engineering, Yatsushiro National College of Technology, Yatsushiro, Kumamoto, 866-8501, Japan

    Takayasu Kaida

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  1. Takayasu Kaida
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Editor information

Editors and Affiliations

  1. Department of Informatics, University of Bergen, PB 7803, 5020, Bergen, Norway

    Tor Helleseth

  2. University of Ilinois at Urbana-Champaign, 1406 West Green Street, IL 61801, Urbana, USA

    Dilip Sarwate

  3. Department of Electrical and Electronic Engineering, Yonsei University, 121-749, Seoul, Korea

    Hong-Yeop Song

  4. Dept. of Electronics and Electrical Engineering, Pohang University of Science and Technology (POSTECH), 790-784, Pohang, Kyungbuk, Korea

    Kyeongcheol Yang

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© 2005 Springer-Verlag Berlin Heidelberg

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Kaida, T. (2005). On the Generalized Lauder-Paterson Algorithm and Profiles of the k-Error Linear Complexity for Exponent Periodic 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_10

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  • DOI: https://doi.org/10.1007/11423461_10

  • 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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