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Volume 15 Issue 2
March  2000
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GU Jing, SHUAI Dianxun. The Faster Higher-Order Cellular Automaton for Hyper-Parallel Undistorted Data Compression[J]. Journal of Computer Science and Technology, 2000, 15(2): 126-135.
Citation: GU Jing, SHUAI Dianxun. The Faster Higher-Order Cellular Automaton for Hyper-Parallel Undistorted Data Compression[J]. Journal of Computer Science and Technology, 2000, 15(2): 126-135.
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The Faster Higher-Order Cellular Automaton for Hyper-Parallel Undistorted Data Compression

  • Department of Computer Science and Technology East China University of Science and Technology; Shanghai 200237; P.R. China State Key Laboratory of Intelligence Technology and System Tsinghua University; Beijing 100084; P.R. China;

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  • Published Date: March 09, 2000
    Abstract
  • This paper defines second-order and third-order permutation global functions and presents the corresponding higher-order cellular automaton approach to the hyper-parallel undistorted data compression. The genetic algorithm is successfully devoted to finding out all the correct local compression rules for the higher-order cellular automaton. The correctness of the higher-order compression rules, the time complexity, and the systolic hardware implementation issue are discussed. In comparison with the first-…
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    • References (3)
  • [1]
    Gu Jing, Shusi Dianxun. A new parallel-by-cell approach to undistorted data compression based on cellular automaton and genetic algorithm. Journal of Computer Science and Technology, 1999, 14(6): 572-579.
    [2]
    Menalie M. An Introduction to Genetic Algorithm. MIT Preaa. 1996.
    [3]
    Bertoni A, Dorigo M. Implicit paraVelism in genetic algorithm. Artificial Intelligence, 1993, 61(2): 307-314. ……….
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