在卫星的状态估计过程中应用推广的序列估计算法,借助数值积分方法积分状态向量和协方差矩阵。
For the estimation of satellite state, the extended sequential estimation algorithm was applied. The numerical method was used to integrate state vector and error covariance matrix.
本文的目的在于,对于线性平稳时间序列的样本、自协方差、自相关和偏相关函数的渐近性质,给出一个比较系统的描述。
The aim of this paper is to give a systematic account of asymptotic properties of the sample autocovariance, autocorrelation and partial autocorrelation functions of linear stationary time series.
在高斯假定下得到非平稳时间序列的协方差矩阵的转移形式。对一个实际的地震过程进行的数字研究结果证明本文方法是有效的。
The transition of the covariance matrix of the nonstationary time series is obtained with Gaussian assumptions. An actual earthquake is studied by the method proposed and satisfactory res…
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