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Relaxation while Settling a Scaling-Invariant Distribution of Fluctuations in Random Processes with 1/f Noise

机译:在建立具有1 / f噪声的随机过程中波动的定标不变分布时的松弛

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Among the numerous steady-state random processes, those in which the power spectrum is inversely proportional to the frequency f, i.e., the so-called "1/f-"processes are of particular importance. They attract attention due to their scaling-invariant fluctuation distribution. In the general case, scaling invariance can be associated with the critical behavior or self-organization in complex systems [1]. An example of scaling-invariant behavior is the Kolmogorov turbulence when energy fluxes of various length scales arise in fluid flows, these phenomena obeying unified universal similarity laws [2]. However, not all random processes are reduced to such turbulence. Almost 80 years ago, electric-voltage fluctuations inversely proportional to the frequency were discovered in electronic devices (flicker-noise [3]). It turned out that random processes displayed by the 1/f spectrum may be encountered in a number of phenomena. In addition to the electric-current and magnetic fluctuations studied in solid-state physics, many random processes in astrophysics, geophysics, biology, and computer science also display a power spectrum inversely proportional to the frequency [4].
机译:在众多稳态随机过程中,功率谱与频率f成反比的那些过程,即所谓的“ 1 / f-”过程特别重要。由于它们的标度不变波动分布,它们引起了人们的注意。在一般情况下,缩放不变性可能与复杂系统中的关键行为或自组织相关联[1]。当流体流中出现各种长度尺度的能量通量时,尺度不变行为的一个例子是柯尔莫哥罗夫湍流,这些现象遵循统一的普遍相似性定律[2]。但是,并非所有随机过程都被减小到这种湍流。大约80年前,在电子设备中发现了与频率成反比的电压波动(闪烁噪声[3])。事实证明,在多种现象中可能会遇到1 / f光谱显示的随机过程。除了在固态物理学中研究的电流和磁场波动外,天体物理学,地球物理学,生物学和计算机科学中的许多随机过程还显示出与频率成反比的功率谱[4]。

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