... error covariance matrix 误差协方差矩阵 ; 矩阵 quadric error matrix 二次误差矩阵 mean squared error matrix 均方误差阵 ...
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推广的序贯估算法有两种形式：1。积分误差协方差矩阵，2。积分状态转移矩阵。
There are two forms of extended sequential estimation algorithm: 1. integrating error covariance matrix; 2. integrating state transition matrix.
基于转换测量误差协方差矩阵的特征值分解，给出了转换位置测量的时间渐近特性。
Based on the eigenvalue decomposition of the converted measurement error covariance matrix, asymptotic behavior was given about the converted position measurement error.
为了处理这个问题，提出了一个新的方法，聚焦变换的基础上鉴别协方差矩阵，以消除噪声，并因此减少聚焦误差。
To deal with the problem, a new method of focusing transformation based on differentiating covariance matrix is proposed to eliminate noise, and hence reduce the focusing error.
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