Numerical simulations, like the ones necessary for e.g. electromagnetic gyrokinetic models in plasma physics, require large computational resources and long run times. Using tools from signal processing, it is possible to draw conclusions about frequencies, damping rates and mode structures using shorter runs. These tools can also be applied to analyse transient signals. We give a pedagogical review of two contemporary methods from signal processing: damped multiple signal classification and stochastic system identification. An application to simulations of Alfvn modes in a tokamak is presented.

中文翻译：

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现代信号处理方法应用于陀螺动力学仿真

数值模拟（例如等离子物理中的电磁陀螺动力学模型所必需的模拟）需要大量的计算资源和较长的运行时间。使用信号处理工具，可以使用较短的运行时间得出有关频率，阻尼率和模式结构的结论。这些工具也可以用于分析瞬态信号。我们对来自信号处理的两种当代方法进行了教学回顾：阻尼多信号分类和随机系统识别。提出了一种在托卡马克中模拟Alfvn模式的应用。