在大型线性回归分析中，由于设计矩阵的病态使得经典的最小二乘法失去了优良性。
The superiority of the classical least square method is lost due to the morbid of designed matrix in large-type linear regression analysis.
进而借助于多相流电容成象中的LBP法，处理病态矩阵和提高建象速度。
LBP(Linear Back Projection) method which is used in multiphase tomography is adopted to deal with ill matrix and speed up reconstruction.
对于原始的输入数据，不可能得到正确的结果，尽管阻抗矩阵并不是病态的。
The correct solution can not be obtained for the original input data, even though the impedance matrix is not ill conditioned.
用直接斜率法进行波前重构，采用最小二乘解，并用波前重构矩阵的条件数作为其病态程度的判据。
Zonal wavefront reconstructing model is adopted, the least squares solution is applied, and the condition number of wavefront reconstruction matrix is used to estimate how its morbidity is.
本文提出一种克服线性回归模型系数矩阵病态的“紧致最小二乘估计”。
In this paper a "compact least square method" is presented to overcome the ill-conditioned coefficient matrices in the linear regression models.
当法方程的系数矩阵呈病态时，平差参数的统计性质就要变坏。
If the coefficient matrix of the normal equation is ill-conditioned, the statistical character of adjustment parameter will become poor.
该算法首先求解目标的高度，避免了方程系数矩阵病态，因而在算法量相当的情况下，可获得较好的目标定位精度。
This algorithm, which first solves target's altitude and avoids ill-conditioned system of equation, can improve the location accuracy with the same operating complexity.
提出了一种新的病态混叠盲源分离算法。算法首先对观察信号进行预处理，把多余的观察信号剔除，使预处理后的混叠矩阵A是行满秩的；
It is proposed a new blind separation algorithm of ill-condition mixed sources. Observed signals are pre-processed through eliminating redundancy signals so that mixed matrix A is row full rank.
该算法可以用来解决三元被测量的重构问题，并考虑了测量矩阵的数据病态可能性。
The proposed method is capable of measurand reconstruction of three variables, and is immune to morbidity of data 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。
Based on TIKHONOV regularization theorem, a new regularizer, which has explicitly physical meaning, is chosen to mitigate the ill-condition of the normal matrix.
基于矩阵体积的概念，引入矩阵向量正交度，对病态问题的行列式诊断方法进行了推广和扩展。
Based on the conception of the matrix volume, we presented the definition of the orthogonal degree of the matrices, generalized and extended the determinant method mentioned above.
利用负荷功率变动态导纳算法解决了节点导纳矩阵病态问题。
By using the variation dynamic admittance algorithm of the load power, the ill-conditional number problem of the node admittance matrix is solved.
为消除二维汽车碰撞模型的病态性，利用矩阵扰动理论分析了模型病态性的实质。
Matrix perturbation theory was applied to analyzing the ill-conditioned two-dimensional vehicle collision model.
为消除二维汽车碰撞模型的病态性，利用矩阵扰动理论分析了模型病态性的实质。
Matrix perturbation theory was applied to analyzing the ill-conditioned two-dimensional vehicle collision model.
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