论文部分内容阅读
地震的孕育与发生过程必然在地震观测资料中有所反映,海城、唐山等强震前后的丰富观测资料已充分说明这一点。但是地震观测资料中的变化不仅包含与地震有关的信息,而且包含了与地震无关的干扰。如何自地震观测资料中消除干扰因素影响与提取地震信息,其中包括地震前兆信息,这就是地震信息处理的重要任务。 时间序列分析研究随时间变化的数据序列。对数据序列建立数学模型,用一定的估计方法求得模型的参数,使估计模型具有与实际序列相近的协方差参数,以探讨实际序列
The process of the occurrence and occurrence of earthquakes must be reflected in the seismic observation data. The abundant observation data before and after the strong earthquakes such as Haicheng and Tangshan have fully illustrated this point. However, the changes in the seismic data not only include the information related to the earthquake, but also include the earthquake-independent interference. How to eliminate the interference factors and extract the seismic information from the seismic observation data, including the earthquake precursor information, is an important task of seismic information processing. Time series analysis studies data series that change over time. The mathematical model of the data sequence is established, and the parameters of the model are obtained by a certain estimation method so that the estimation model has the covariance parameters similar to the actual sequence to explore the actual sequence