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1·Stability and ill-condition of the regression equation.

回归方程的稳定性和病态。

2·The satellite image restoration is an ill-condition problem.

卫星图像的恢复是一个病态逆问题。

3·It is proposed a new blind separation algorithm of ill-condition mixed sources.

提出了一种新的病态混叠盲源分离算法。

4·The third is the ill-condition separation algorithm in multicollinear regression model.

复共线回归模型的病态分离算法。

5·Besides, the system is an ill-condition system with strong interaction and process directionality problems.

同时该系统又是一个具有强耦合作用和定向增益问题的病态系统。

6·A new identification method based on apriori information is proposed for time varying process to avoid the ill-condition of least squares method.

提出了一类基于先验信息的时变参数辨识算法以克服病态辨识。

7·By using Wu s method, all the precise solutions of power flow equations are worked out without encountering the numerical difficulty of ill-condition.

通过运用吴消元法求解电力系统潮流方程，求得了全部实域精确解，同时避免了因以数值迭代方法求解出现雅可比矩阵奇异的现象。

8·Based on TIKHONOV regularization theorem, a new regularizer, which has explicitly physical meaning, is chosen to mitigate the ill-condition of the normal matrix.

基于TIK - HONOV正则化原理，选择了一种具有物理意义的正则化矩阵，以减弱法矩阵的病态性。

9·The method for solving the ill-condition of model is put forward by improving the original linear equations. The result of its application verifies the effectiveness of th…

提出了通过处理原始方程组解决模型病态性的方法，通过实例验证了该方法的有效性。

10·The experiment results show that the two proposed approaches are better with the respects of improving the identification precision and eliminating the ill-condition influences.

实验结果表明，这两种方法在识别精度和消除病态影响方面均优于传统的频域识别方法。

病态

1·Besides, the system is an ill-condition system with strong interaction and process directionality problems.

同时该系统又是一个具有强耦合作用和定向增益问题的病态系统。

2·Stability and ill-condition of the regression equation.

回归方程的稳定性和病态。

3·The experiment results show that the two proposed approaches are better with the respects of improving the identification precision and eliminating the ill-condition influences.

实验结果表明，这两种方法在识别精度和消除病态影响方面均优于传统的频域识别方法。

4·To solve the problem of the ill-condition in locating and tracking a moving source using passive measurements, a new method based on linear estimation is presented in this paper, the.

本文针对无源声纳对运动声源的被动定位跟踪中的病态问题，提出一种基于线性估计、可减轻病态的新方法。

5·Based on TIKHONOV regularization theorem, a new regularizer, which has explicitly physical meaning, is chosen to mitigate the ill-condition of the normal matrix.

基于TIK - HONOV正则化原理，选择了一种具有物理意义的正则化矩阵，以减弱法矩阵的病态性。