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Multi-scale signal transform and application of solar time series through phase analysis

机译:通过相位分析进行多尺度信号转换和太阳时间序列的应用

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Synchronization can be considered as a fundamental property for dynamical system in scientific fields, which is used to describe the asynchronous behaviour in time-frequency domain. The statistical analysis of solar time series can obtain some useful information to characterise and predict the long-term variability of the Sun. In this paper, two analysis approaches, including wavelet coherence transform and cross-correlation analysis, are combined to analyze the statistical connection of polar faculae between low latitudes and high latitudes for the time period from 1951 to 1998. Analysis results indicated that the combination technique is an appropriate choice for studying the asynchronous behavior between the two time series, because the classical analysis techniques can easily get some incorrect results.
机译:同步可以被认为是科学领域动力系统的基本属性,用于描述时频域中的异步行为。太阳时间序列的统计分析可以获取一些有用的信息,以表征和预测太阳的长期变化性。本文结合小波相干变换和互相关分析两种分析方法,分析了1951年至1998年期间低纬度和高纬度极地层的统计联系。是研究两个时间序列之间的异步行为的合适选择,因为经典的分析技术很容易获得一些不正确的结果。

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