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Analysis of the geomagnetic activity of the D(st) index and self-affine fractals using wavelet transforms

机译:用小波变换分析D(st)指数和自仿射分形的地磁活动

摘要

The geomagnetic activity of the D(st) index is analyzed using wavelet transforms and it is shown that the D(st) index possesses properties associated with self-affine fractals. For example, the power spectral density obeys a power-law dependence on frequency, and therefore the D(st) index can be viewed as a self-affine fractal dynamic process. In fact, the behaviour of the D(st) index, with a Hurst exponent H≈0.5 (power-law exponent β≈2) at high frequency, is similar to that of Brownian motion. Therefore, the dynamical invariants of the D(st) index may be described by a potential Brownian motion model. Characterization of the geomagnetic activity has been studied by analysing the geomagnetic field using a wavelet covariance technique. The wavelet covariance exponent provides a direct effective measure of the strength of persistence of the D(st) index. One of the advantages of wavelet analysis is that many inherent problems encountered in Fourier transform methods, such as windowing and detrending, are not necessary.ud
机译:使用小波变换分析了D(st)指数的地磁活动,结果表明D(st)指数具有与自仿射分形相关的特性。例如,功率谱密度服从频率对功率定律的依赖,因此D(st)指数可以看作是自仿射分形动态过程。实际上,在高频下具有Hurst指数H≈0.5(幂律指数β≈2)的D(st)索引的行为类似于布朗运动。因此,可以通过潜在的布朗运动模型描述D(st)索引的动态不变量。通过使用小波协方差技术分析地磁场,研究了地磁活动的特征。小波协方差指数提供了D(st)指数持久性强度的直接有效度量。小波分析的优点之一是,在傅立叶变换方法中遇到的许多固有问题(例如开窗和去趋势)是不必要的。 ud

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