【摘 要】
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Recently,we have proposed a novel method in de-scribing digital data by marts of rule sequences of one dimensional cellular automata with two states and thr
【机 构】
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Department of Human and Arti cial Intelligent Systems, University of Fukui, Fukui, 910-8507, Japan
【出 处】
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the 2nd Shanghai International Symposium on NOnlinear Scienc
论文部分内容阅读
Recently,we have proposed a novel method in de-scribing digital data by marts of rule sequences of one dimensional cellular automata with two states and three neighbors (1-2-3 CA) [1].The method enables errorless coding of digital data.For several cases,furthermore,the method simultaneously enables compressive coding.In the data obtained by the method,at each time step,the data sequences are coded by rule sequences instead of quantized amplitude data.In other words,we succeeded to extract rule dynamics of real sound data.The idea of rule dynamics was proposed by Aizawa and his colleagues [2].Furthermore,we have found the fact that the original bit-pattern sequences can be recovered by applying the two-rules sequences even if starting from any initial configuration of CA [3].This result suggests that there exist hidden paths of attracting dynamics into the original one.
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