Time series analysis of sunspot oscillations using the wavelet transform

被引：0

作者：

Christopoulou, EB ^{[1
]}

Skodras, AN ^{[1
]}

Georgakilas, AA ^{[1
]}

机构：

[1] Univ Patras, Elect Lab, GR-26110 Patras, Greece

来源：

DSP 2002: 14TH INTERNATIONAL CONFERENCE ON DIGITAL SIGNAL PROCESSING PROCEEDINGS, VOLS 1 AND 2 | 2002年

关键词：

D O I：

暂无

中图分类号：

TP31 [计算机软件];

学科分类号：

081202 ; 0835 ;

摘要：

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 analyzing such a signal. In our study we use the continuous wavelet transform in order to perform the analysis and the "a trous" algorithm as a detrending tool.

引用

页码：893 / 896

页数：4

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