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首页> 外文期刊>Journal of applied statistics >Type-Ⅰ intermittency from Markov binary block visibility graph perspective
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Type-Ⅰ intermittency from Markov binary block visibility graph perspective

机译:来自马尔可夫二进制块可见性图形透视图的Ⅰ型间歇性

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In this work, the type-I intermittency is studied from the optimized Markov binary visibility graphs perspective. We consider a local Poincare map such as the logistic map that is a simple model for exhibiting this type of intermittency. To consider the acceptance gate as , we show that the transition between laminar and non-laminar zones in type-I intermittency takes distinct phases and regions. According to their behavioral characteristics, we call them as pure, switching, threshold, trapping, and transforming phases for the laminar zone and initial, terminal reinjection, and chaotic burst regions for non-laminar zone. We investigate their properties based on statistical tools such as the maximum and the mean length of the laminar zone and also length distributions of the laminar zone. For further investigation, we study degree distribution of the complex network generated by type-I intermittency time series and finally, predict various behaviors of phases and regions by proposed theoretical degree distributions.
机译:在这项工作中,从优化的马尔可夫二进制可见性图表透视中研究了I类型的间歇性。我们考虑一个当地的Poincare地图,例如Logistic Map,这是一种展示这种间歇性的简单模型。要考虑验收门,我们表明,I型间隔中的层流和非层间区域之间的过渡采用不同的阶段和地区。根据其行为特征,我们称为层间区域和初始,端子再注,末端,端子再注,以及非层流区域的混沌突发区域的纯,切换,阈值,捕获和转换阶段。我们基于统计工具研究其性质,例如层状区域的最大和平均长度以及层流区域的长度分布。为了进一步调查,我们研究了I型间歇时间序列产生的复杂网络的程度分布,最后,通过提出理论度分布预测各个阶段和地区的各种行为。

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