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Autocorrelation Performance Improvement of Hopfield Hyperchaos Sequence Based on APAS Theorem

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Advances in Computer Science, Intelligent System and Environment

Part of the book series: Advances in Intelligent and Soft Computing ((AINSC,volume 105))

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Abstract

Hyperchaos sequences have been widely used as complex pseudorandom sequences. However, the autocorrelation performance of some well known Hyperchaos sequences, such as Hopfield sequence, is poor, and their applications are limited. Based on recently presented APAS theorem, we have modified the Hopfield map to Symmetrical-Hopfield(S-Hopfield) map, and the autocorrelation performance of the S-Hopfield sequence is excellent, whereas other performances of the S-Hopfield sequence remain invariant or become better, and this sequence can be used more widely.

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Chen, B. (2011). Autocorrelation Performance Improvement of Hopfield Hyperchaos Sequence Based on APAS Theorem. In: Jin, D., Lin, S. (eds) Advances in Computer Science, Intelligent System and Environment. Advances in Intelligent and Soft Computing, vol 105. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-23756-0_60

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  • DOI: https://doi.org/10.1007/978-3-642-23756-0_60

  • Publisher Name: Springer, Berlin, Heidelberg

  • Print ISBN: 978-3-642-23755-3

  • Online ISBN: 978-3-642-23756-0

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