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The Simulation Research and NIST Test of Binary Quantification Methods for the Typical Chaos

机译:典型混沌二进制量化方法的仿真研究与NIST测试

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In this paper, we study into the binary quantification methods of Logistic, Tent and Lorenz three typical chaos, and apply direction quantization, threshold quantization and interval quantization to quantify typical chaos signal respectively. On the basic of studying the standards of NIST test and the test suite of STS, we do a lot of NIST tests and analysis on the three typical chaos sequence to find the best quantification method for the three typical chaos, and study the impact of the system parameters, the initial value and the length of sequence on the digital chaotic sequence, and achieve better chaotic sequence in randomness, which provide some theoretical guidance to the digital secure communication.
机译:本文研究了Logistic,Tent和Lorenz三种典型混沌的二进制量化方法,并分别应用方向量化,阈值量化和区间量化对典型混沌信号进行量化。在研究NIST测试标准和STS测试套件的基础上,我们对三种典型的混沌序列进行了大量的NIST测试和分析,以找到针对三种典型的混沌的最佳量化方法,并研究了三种方法的影响。系统参数,数字混沌序列的初始值和序列长度,以及在随机性上获得更好的混沌序列,这为数字安全通信提供了一定的理论指导。

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