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MOVING LEAST SQUARES SPECTRA SCRUTINIZE CHRONOMICS IN AND AROUND US

机译:移动最小二乘频谱仔细研究和周围的时序

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摘要

As an extension of the chronobiological serial section, gliding spectra illustrate the changing time structure (chronome) of physiological, physical and/or other variables in a given frequency range. For this purpose, least squares spectra are computed over a specified interval (much shorter than the observation span) that is progressively displaced by a given increment throughout the entire record. Results can be displayed either as 3D charts or as surface charts, displaying the estimated amplitudes, percentage rhythms or ordering P-values at each trial period for each interval. The procedure is illustrated for the record of Wolf numbers as a gauge of solar activity and for the number of marriages and divorces in Japan during the past century. Major components in these time series show deviations in period length and relative prominence over time. Particularly in the case of non-stationary time series, gliding spectra offer themselves as useful tools to examine changes in time structure beyond a specific spectral component.
机译:作为时间生物学序列部分的扩展,滑动光谱说明了在给定频率范围内生理,物理和/或其他变量的时间结构(计时组)的变化。为此,将在指定间隔(比观察范围短得多)上计算最小二乘光谱,该间隔在整个记录中逐渐以给定的增量位移。结果可以显示为3D图表或表面图表,显示每个间隔的每个试用期的估计振幅,节奏百分比或P值排序。举例说明了该程序,以记录沃尔夫数作为太阳活动的量度,并记录了上个世纪日本的结婚和离婚的次数。这些时间序列中的主要组成部分显示了周期长度和相对突出度随时间的偏差。尤其是在非平稳时间序列的情况下,滑移频谱本身就成为检查超出特定频谱分量的时间结构变化的有用工具。

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