非等间距日长变化的最大熵谱分析研究

发布时间：2018-04-12 16:42

  本文选题：插值 + 频谱分析　； 参考：《北京师范大学学报(自然科学版)》2012年01期

【摘要】：最大熵功率谱估计方法是天文研究领域常用的现代频谱分析方法,本文利用反映地球自转速率变化的日长数据序列,采用最大熵法进行频谱分析,分别随机扣除实测序列中总样本数的1/2、1/3和1/4的观测数据,再对扣除的数据点进行样条插值,使之成为新的等间距时间序列,同样采用最大熵法进行频谱分析,探究数据插值对频谱分析结果的影响.结果表明,插值可能会改变频谱分析结果,并导致出现一些虚假周期成分,结果的准确程度和插值点的数量密切相关.
[Abstract]:The maximum entropy power spectrum estimation method is a modern spectrum analysis method commonly used in astronomical research. In this paper, the maximum entropy method is used to analyze the spectrum using the data series reflecting the variation of the rotation rate of the earth.The observed data of 1 / 2 / 1 / 3 and 1 / 4 of the total number of samples in the measured sequence are deducted randomly, and then the subtracted data points are interpolated by spline to make it a new equal-space time series. The maximum entropy method is also used for spectrum analysis.To explore the effect of data interpolation on spectrum analysis results.The results show that interpolation may change the spectrum analysis results and lead to some false periodic components. The accuracy of the results is closely related to the number of interpolation points.
【作者单位】： 北京师范大学天文学系;
【基金】：国家自然科学基金天文联合基金资助项目(10978007) 北京市优秀人才培养资助项目
【分类号】：P122
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本文编号：1740576