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Multi-scale Signal Transform and Application of Solar Time Series Through Phase Analysis

机译:通过相位分析的多尺度信号变换与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态系统的基本属性,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得一些有用的信息来表征和预测太阳的长期变异性。本文在本文中,组合了两个分析方法,包括小波相干变换和互相关分析,分析了1951年至1998年的低纬度和高纬度之间的极性投影的统计连接。分析结果表明组合技术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.

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