發(fā)布時(shí)間：2018-04-12 16:42

  本文選題：插值 + 頻譜分析��； 參考：《北京師范大學(xué)學(xué)報(bào)(自然科學(xué)版)》2012年01期

【摘要】：最大熵功率譜估計(jì)方法是天文研究領(lǐng)域常用的現(xiàn)代頻譜分析方法,本文利用反映地球自轉(zhuǎn)速率變化的日長(zhǎng)數(shù)據(jù)序列,采用最大熵法進(jìn)行頻譜分析,分別隨機(jī)扣除實(shí)測(cè)序列中總樣本數(shù)的1/2、1/3和1/4的觀測(cè)數(shù)據(jù),再對(duì)扣除的數(shù)據(jù)點(diǎn)進(jìn)行樣條插值,使之成為新的等間距時(shí)間序列,同樣采用最大熵法進(jìn)行頻譜分析,探究數(shù)據(jù)插值對(duì)頻譜分析結(jié)果的影響.結(jié)果表明,插值可能會(huì)改變頻譜分析結(jié)果,并導(dǎo)致出現(xiàn)一些虛假周期成分,結(jié)果的準(zhǔn)確程度和插值點(diǎn)的數(shù)量密切相關(guān).
[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.
【作者單位】： 北京師范大學(xué)天文學(xué)系;
【基金】：國(guó)家自然科學(xué)基金天文聯(lián)合基金資助項(xiàng)目(10978007) 北京市優(yōu)秀人才培養(yǎng)資助項(xiàng)目
【分類號(hào)】：P122
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本文編號(hào)：1740576