Varotsos P A, Sarlis N V, Skordas E S
Solid State Section, Physics Department, University of Athens, Panepistimiopolis, Zografos, Athens 157 84, Greece.
Phys Rev E Stat Nonlin Soft Matter Phys. 2003 Feb;67(2 Pt 1):021109. doi: 10.1103/PhysRevE.67.021109. Epub 2003 Feb 26.
The correlations within the time series of the seismic electric signal (SES) activities have been studied in a previous paper [P. Varotsos, N. Sarlis, and E. Skordas, Phys. Rev. E 66, 011902 (2002)]. Here, we analyze the time series of successive high- and low-level states' durations. The existence of correlation between the states is investigated by means of Hurst and detrended fluctuation analysis (DFA). The multifractal DFA (MF-DFA) is also employed. The results point to a stronger correlation, and hence longer memory, in the series of the high-level states. Furthermore, an analysis in the "natural" time domain reveals that certain power spectrum characteristics seem to distinguish SES activities from "artificial" (man-made) electric noises. More precisely, for natural frequencies 0<phi<0.5, the curves of the SES activities and artificial noises lie above and below, respectively, that of the "uniform" distribution (UD). A classification of these two types of electric signals (SES activities, artificial noises), cannot be achieved on the basis of the values of the power-law exponents alone, if the Hurst analysis, DFA, and MF-DFA are applied to the original time series. The latter two methods, however, seem to allow a distinction between the SES activities and artificial noises when treating them (not in conventional the time frame, but) in the natural time domain. To further test the techniques, a time series produced by another system was examined. We chose a signal of ion current fluctuations in membrane channels (ICFMCs). The following conclusions, among others, have been obtained: First, the power spectrum analysis in the natural time domain shows that the ICFMC curve almost coincides (in the range 0<phi<0.5) with that of the UD, and hence ICFMC lies just in the boundary between the SES activities and artificial noises. Second, MF-DFA indicates monofractality for the ICFMCs with a generalized Hurst exponent h=0.84+/-0.03 in the range 7-70 ms.
先前的一篇论文[P. 瓦罗托斯、N. 萨利斯和E. 斯科尔达斯,《物理评论E》66,011902 (2002)]研究了地震电信号(SES)活动时间序列中的相关性。在此,我们分析连续的高、低电平状态持续时间的时间序列。通过赫斯特分析和去趋势波动分析(DFA)研究状态之间相关性的存在。还采用了多重分形DFA (MF-DFA)。结果表明,在高电平状态序列中存在更强的相关性,因此具有更长的记忆性。此外,在“自然”时域中的分析表明,某些功率谱特征似乎能将SES活动与“人工”(人为产生的)电噪声区分开来。更确切地说,对于自然频率0<phi<0.5,SES活动曲线和人工噪声曲线分别位于“均匀”分布(UD)曲线的上方和下方。如果将赫斯特分析、DFA和MF-DFA应用于原始时间序列,仅基于幂律指数的值无法实现这两种电信号(SES活动、人工噪声)的分类。然而,后两种方法在处理它们时(不是在传统时间框架内,而是)在自然时域中似乎能够区分SES活动和人工噪声。为了进一步测试这些技术,研究了由另一个系统产生的时间序列。我们选择了膜通道中离子电流波动(ICFMCs)的信号。得到了以下结论,等等:第一,自然时域中的功率谱分析表明,ICFMC曲线(在0<phi<0.5范围内)几乎与UD曲线重合,因此ICFMC恰好处于SES活动和人工噪声的边界。第二,MF-DFA表明,在7 - 70毫秒范围内,ICFMCs具有单分形性,广义赫斯特指数h = 0.84±0.03。