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首页> 美国政府科技报告 >High Frequency Spectral Analysis of Very Noisy Stochastic Processes and itsApplication to ERP Series Determined by VLBI and SLR
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High Frequency Spectral Analysis of Very Noisy Stochastic Processes and itsApplication to ERP Series Determined by VLBI and SLR

机译：VLBI和sLR确定的非常嘈杂随机过程的高频谱分析及其在ERp系列中的应用

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Increased accuracy of measurement techniques in geodesy allows us to investigateweak short periodic variations in Earth Rotation Parameters (ERP). These variations in the ERP of a short periodic nature from 10 to 100 days are of the order of the measurement error or smaller. Therefore, application of an optimum method of spectral analysis is very important. In order to determine the best spectral analysis to find short period oscillations in real geophysical data, the following spectral analysis methods have been used to compute the frequencies in simulated data: (1) Fast Fourier Transformation (FFT); (2) Blackman-Tuckey spectral analysis; (3) Maximum Entropy Spectral Analysis (MESA); and (4) Band Pass Filter Spectral Analysis (BPFSA).

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