The matrix decomposition method for DOA estimation is analyzed. It is proved that the method is a subspace method.
本文对用于DOA估计的矩阵分解法进行了分析，证明了它是一种子空间方法。
By using the techniques of the matrix decomposition and the system transformation, the set-valued filtering for stochastic singular linear systems is also designed.
利用矩阵分解和系统变换的技巧，得到广义随机系统的集值滤波方程。
Within the framework of the paraxial approximation the matrix decomposition and equivalent transformation of misaligned optical systems are studied in detail based on matrix method in optics.
在傍轴近似下，采用矩阵光学方法详细研究了失调光学系统变换矩阵的分解与等效变换问题。
LU decomposition is a triangular decomposition approach of non-singular matrix, and the digital image can be seen as a matrix.
LU分解是一种将非奇异矩阵进行三角分解的方法，而数字图像也可以看作矩阵。
Thereinto, for the spectral decomposition estimate of the covariance matrix , we can gain the risk functions under some losses.
其中，对于观测向量协方差阵的谱分解估计，我们很容易得到它在一些损失下的风险函数。
The actual procedure and algorithm for query decomposition optimisation with association matrix is proposed, and is convenient to be performed on a computer.
本文提出了利用关联矩阵进行查询分解优化的具体过程和算法。这种方法极利于在计算机上实现。
Square root method is one of direct methods, which is an effective method for the solution of symmetrical positive liner equations through triangle decomposition of symmetrical positive matrix.
直接法中的平方根法，就是利用对称正定矩阵的三角分解而得到的求解对称正定方程组的一种有效方法。
Through estimating the signal and noise subspaces with the eigen-decomposition of the correlation matrix, the MUSIC algorithm is used to estimate the DOAs of LFM sources.
通过对相关矩阵进行特征值分解，估计信号子空间和噪声子空间，并利用MU S IC算法估计宽带LF M信号的波达方向。
It is theoretically important to solve the problems of decomposition of automorphisms of solvable subalgebra and nilpotent subalgebra of matrix algebra over commutative rings.
交换环上矩阵代数的可解子代数和幂零子代数的自同构分解问题是一类重要的具有理论意义的研究课题。
Based on the algorithm of maneuvering acceleration current statistical model adaptive filtering, the adaptive kalman filtering algorithm based on QR matrix decomposition is presented in this paper.
在机动加速度“当前”统计自适应卡尔曼滤波算法的基础上，引入了基于Q - R矩阵分解的自适应卡尔曼滤波算法。
By using the method of matrix singular values decomposition, the general expressions of the least squares solutions are given.
利用矩阵的奇异值分解和矩阵分块方法，得到了最小二乘解的一般表达式。
Through the multiresolution decomposition and compression of operator matrix and seismic wave field matrix, we proposed a new method of seismic modeling in wavelet domain.
通过对算子矩阵和地震波场矩阵进行多分辨分解和压缩，得到了小波域中地震波场正演模拟算法。
Digital image is transformed into singular value matrix that contains non-zero singular values by singular value decomposition (SVD), the image is compressed.
通过对图像进行奇异值分解，将一幅图像转换成只包含几个非零值的奇异值矩阵，实现图像压缩。
A recursive algorithm for calculating the eigenvalues of a real symmetric matrix based on LDLT decomposition is given.
基于线性代数与矩阵理论，给出利用LDLT分解计算实对称矩阵特征值的递归算法。
A robust stability boundary of uncertain singular systems is proposed by utilizing singular value decomposition and the character of mode matrix.
并利用奇异值分解方法和模矩阵的性质，给出了使不确定广义系统鲁棒稳定的一个鲁棒界。
We got the standard form of nonsingular matrix over the finite field by means of BN pair decomposition under the similarity transformation of the permutation matrix.
利用有限域上一般线性群的BN对分解，给出有限域上的可逆矩阵在置换阵相似变换下的标准形。
Based on the unit quaternion decomposition of rotation matrix, this paper puts forward an algorithm to estimate motion parameters from the space position vectors of 3d feature points.
本文基于旋转矩阵单位四元数分解定理，提出一种由3D特征点空间位置估计运动参数的算法。
This paper introduces a typical SNR estimation algorithm by the use of autocorrelation matrix singular value decomposition method.
主要介绍了一种典型的信噪比估计算法，并对信噪比的自相关矩阵奇异值分解估计法进行了研究。
Based on the eigenvalue decomposition of the converted measurement error covariance matrix, asymptotic behavior was given about the converted position measurement error.
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。
A least squares solution via singular value decomposition is used to solve the matrix equation.
本文使用奇异值分解法求解矩阵方程的最小二乘解。
Using the linear space in linear substitution, has given on the complex field the matrix one form, and gave this kind of decomposition form to ask the law specifically.
利用线性空间上的线性变换，给出了复数域上矩阵的一种形式，并给出了这种分解形式的具体求法。
We also derive the sufficient conditions of robust stability by rank-1 decomposition of the matrix under the assumption that uncertainty is matrix polytope structured uncertainty.
假设不确定性为矩阵多胞形结构不确定性，利用矩阵的秩- 1分解，得出系统鲁棒稳定的充分条件。
The initial sensor assignment is obtained by the QR decomposition of the structural mode shape matrix to ensure the estimation accuracy of the parameters.
利用结构振型矩阵转置的QR分解得到传感器的初始配置。
Apply singular value decomposition and generalize inverse of the matrix to discuss the existence and uniqueness of the solution of the standard linear programming problem.
用矩阵的奇异值分解和广义逆讨论标准线性规划问题解的存在性和唯一性问题。
The direct form for the recursive least squares estimation via matrix QR decomposition with one step data updated is given .
给出了当数据一步更新时，利用矩阵QR分解进行最小二乘估计的直接递推形式。
In addition, the recursive least square based on matrix UD decomposition is used to confirm the conclusion parameters of fuzzy model for the sake of accumulating and transferring o.
另外，为了克服递推最小二乘出现的误差积累、传递现象，采用基于矩阵ud分解的递推最小二乘方法确定模糊模型的结论参数，从而实现模糊模型的结构和参数优化。
With the LU decomposition of the block tridiagonal matrix, an explicit expression of the block inverse elements is obtained.
由块三对角矩阵的LU分解，得到了其逆矩阵块元素的显式表达式。
A method extracting multiple target feature by the eigenvalues decomposition of target echo autocorrelation matrix is presented.
提出了基于目标回波自相关矩阵本征值分解提取多目标特征的新方法。
Decomposition of dynamic matrix becomes a new research topic as soon as the LP dynamic factorization and kernel matrix came out.
随着线性规划动态分解和核心矩阵的出现，矩阵的动态分解成为了一个新的研究课题。
Based on the method of matrix decomposition, and the Collins diffraction integral formulae, the propagation characteristics of a Gaussian beams passing through misaligned spatial filter are studied.
采用矩阵分解的方法，从柯林斯衍射积分公式出发，对高斯光束通过失调空间滤波器的传输特性进行了分析，得到了相应的解析式。
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