通过将混沌伪随机序列看成一个符号序列，提出了用符号动力学的方法来分析混沌伪随机序列的复杂度。
By considering a chaotic pseudo_random sequence as a symbolic sequence, we present a symbolic dynamics approach for the complexity analysis of chaotic pseudo_random sequences.
介绍了符号时间序列分析方法及其统计量，对树层数进行了合理的选择。
The indirect detecting measurement for transient emissions is obtained. (2) The measurement and statistic parameters of symbolic time series analysis are introduced.
引入稀疏混沌时间短序列概念，提出了稀疏符号时间序列分析方法与实现流程。
The concept of sparse symbolic time series analysis was brought in and the method and procedure for implementation of the analysis was proposed.
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