一种新的固体潮观测数据特征量提取方法

摘要

将经验模态分解方法应用于固体潮观测数据的处理,通过对模态分量从频域上以及从固体潮调和分析结果上与原始观测数据进行对比证明:经验模态分解可以将固体潮观测数据完整地分离成5种特征量:潮汐观测高频信号、半日波信号、周日波信号、潮汐观测低频信号和观测数据的长趋势变化.%The empirical mode decomposition method is applied to data processing of earth tide observations.FFI and Venedikov harmonic analysis are used to verificate the decomposition results. The conclusion is that five feature signals are found from the original signal, they are high-frequency signal, semi-diurnal tide, diurnal tide,low-frequency signal and the trend of the observation data.