In this paper, by using the special structure of the covariance matrix, a fast high resolution method based on QR decomposition is presented.
利用阵列输出协方差矩阵的特殊结构，本文提出一种基于QR分解的高分辨谱估计方法及其改进形式。
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。
A new blind separation algorithm based on signals' whiten transform and QR decomposition of matrix is proposed.
基于信号的白化变换及矩阵的QR分解理论，提出了一种新的盲分离算法。
QR decomposition can improve the condition number of a matrix and then improve the numerical stability.
QR分解可以改善矩阵条件数，从而提高数值稳定性。
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。
Two conclusions drawled by schmidt's orthogonalization:(1) The QR decomposition theorem of nonsingular matrix;
从施密特正交化出发，得到了：（1）可逆矩阵的QR分解定理；
For a general banded matrix, discuss the sparsity pattern of the Q and R matrices from the QR decomposition of symmetric and non-symmetric tridiagonal matrices.
对于一般的带状矩阵，详述对对称与非对称三对角化矩阵做QR分解后，Q矩阵与R矩阵的稀疏元素分布型态。
For a general banded matrix, discuss the sparsity pattern of the Q and R matrices from the QR decomposition of symmetric and non-symmetric tridiagonal matrices.
对于一般的带状矩阵，详述对对称与非对称三对角化矩阵做QR分解后，Q矩阵与R矩阵的稀疏元素分布型态。
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