Detecting hidden periodicity of time-series generated by nonlinear processes in magneto-plasma

Ihor Javorskyj, V. Mykhajlyshyn
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引用次数: 2

Abstract

Models of hidden periodicity in the field of fluctuations and waves in magnetospheric and space plasma are presented. Such interest is stipulated by the fact that space is a source of very different electromagnetic processes. Among wave phenomena the special place take geomagnetic pulsations-the most low frequency (0.001-5 Hz) electromagnetic wave fields of a natural origin. The signals of pulsations are just such an object, to which can to the full be applied both concepts of nonlinear dynamics, and model and methods of revealing the hidden periodicity. The ample opportunities of such signal analysis will be realized at transition to non-stationary probabilistic model of hidden periodicity in kind of almost periodically correlated random processes (almost PCRP) The signals of geomagnetic pulsations PC-I hydromagnetic emissions (HME) of magnetospheric plasma are analysed.
磁等离子体中非线性过程产生的时间序列的隐含周期性检测
提出了磁层和空间等离子体波动场和波动场的隐周期模型。这种兴趣是由空间是非常不同的电磁过程的来源这一事实所规定的。在波动现象中,特殊的地方是地磁脉动——自然起源的最低频(0.001-5赫兹)电磁波场。脉动信号就是这样一个对象,可以充分运用非线性动力学的概念,以及揭示其隐含周期性的模型和方法。在一种几乎周期性相关的随机过程(几乎PCRP)中,这种信号分析将有充分的机会在向隐含周期性的非平稳概率模型过渡时实现。
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