用小波变换分析太阳黑子振荡的时间序列

E. Christopoulou, A. Skodras, A. Georgakilas
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引用次数: 11

摘要

通过将时间序列分解为时频空间,人们能够确定可变性的主要模式以及这些模式如何随时间变化。我们利用小波分析的这一特性,利用对太阳大气的地面观测来研究本影振荡周期的时间变化。我们使用这个真实的信号是为了测试不同小波的能力,并看看在分析这样一个信号时出现的问题。我们使用连续小波变换来进行分析,并使用“a/spl grave/ tros”算法作为去趋势工具。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Time series analysis of sunspot oscillations using the wavelet transform
By decomposing a time series into time-frequency space, one is able to determine both the dominant mode of variability and how those modes vary in time. We take advantage of this property of the wavelet analysis in order to examine the temporal variation of the period of the umbral oscillations using ground-based observations of the solar atmosphere. We use this real-life signal in order to test the capabilities of different wavelets and to see the problems that arise in analyzing such a signal. We use the continuous wavelet transform in order to perform the analysis and the "a/spl grave/ trous" algorithm as a detrending tool.
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