A Complex QR Decomposition Algorithm Using Recursive Householder Transformation 一种采用Householder变换递归实现的复矩阵QR分解算法
Recursive fast algorithm for least squares estimation with householder transformation 最小二乘估计的HOUSEHOLDER变换快速递推算法
A recursive householder transformation algorithm for solving linear over-determined equations 求解线性矛盾方程组的递推Householder变换法
Based on Householder transformation and Gram-Schmidt orthogonalization method, two methods for working out unknown zernike coefficients are bring forward. 提出了两种求解方法,即基于Householder变换求解法和基于Gram-Schmidt正交化求解法,用于确定重建模型中的未知模式系数;
Application of the Householder Transformation in Digital Camera Calibration Householder变换在数码相机检校中的应用
A recursive householder transformation formula and Its Applications 矩阵上三角化的递推Householder变换公式及其应用
A recursive householder transformation method for parameter estimation of difference model 差分模型参数递推估计的Householder变换法
The over-determined equations were solved by using Householder's transformation. 文中超定方程采用Householder变换法求解。
Householder block transformation and linear composed systems Householder块变换及线性组合系统
A discussion on tan's article 《 skew-reflection matrix and the generalization of householder transformation 》 and transformation function φ 关于《斜映射矩阵和Householder变换的推广》兼论变换函数φ&与谭领同志商榷
The concept of human eye's aberration and the mathematical function of wave-front aberration expressed by Zernike polynomial were introduced. The matrix of inconsistent equation group of the algorithm was orthogonalized and triangulated by Householder transformation, and the Zernike coefficients were given directly. 介绍了人眼波前像差的概念以及用Zernike多项式表示的人眼波像差函数,采用Householder变换对矛盾方程的广义增广矩阵进行正交三角化,导出求解拟合系数的算法。
In this paper an effective method of solving stiff mains equations by Householder transformation is put forward. Arid an application in parameter estimation is clarified. 本文提出采用householder变换求解病态矩阵方程的有效方法,阐明了它在参数估计中的应用。
The mathematical model of beating-degree is established by using the method of linear regression analysis. Via Householder transformation the parameters of the model are identified. The on-line correction method for soft measurement model is then illustrated. 简要介绍了打浆工艺过程,采用线性软测量模型回归分析法建立打浆度数学模型,利用Householder变换法进行模型参数的辨识,并阐述了模型参数的在线校正方法。
Both radial errors with different spatial frequencies and local errors with different aperture sizes were fitted using Zernike polynomials. Householder transformation method was applied to work out Zernike coefficients, getting the RMS value of fitting errors. The limitation of Zernike polynomials was analyzed. 基于Zernike多项式利用Householder变换法对不同空间频率径向误差和不同口径局部误差进行了拟合,得到了拟合误差的均方根(RMS)值,分析了Zernike多项式的局限性。
In this paper the concept of Householder transformation is extended. This extension is available to simplify the linear composed systems. 本文将线性代数中的Householder变换加以推广,并用来简化线性组合系统的结构。
Because the conventional QR decomposition algorithm based on the Householder transformation cannot handle complex matrix effectively, the application of it is limited. 由于传统的基于Householder变换的QR分解算法无法有效处理复数矩阵,限制了它的进一步应用。
Study of application of householder transformation and recursive method of minimum square in resolving pseudo-distance navigation and position of GPS 镜像映射法及递推最小二乘法在GPS伪距导航定位解算中的应用
The coefficient matrix is orthogonalized by using polynomial and the overdetermined equations are solved by Householder transformation. The numerical ill-condition is decreased as low as possible, hence the operational accuracy is increased. 利用切比雪夫多项式使矛盾方程组系数矩阵正交化,利用Householder变换直接解矛盾方程组,尽可能降低病态条件数,提高了计算精度。
Realization of best l_2 approximation and best l_ ∞ approximation by using the householder transformation 用Householder变换实现从L2到L∞空间的最佳逼近
The new algorithm uses Householder transformation and QR decomposition to solve eigen-decomposition problem of subspace DOA estimation algorithm, and is more suitable for implementation of the hardware platform. 新算法采用Householder变换和QR分解相结合的方法,解决了特征子空间类DOA估计算法特征分解的难题,算法更适合硬件平台的实现。
Then the whole codebook is designed based on Householder transformation and matrix aggregation according to rank 1 codebook. 该方案先设计秩为1的码本,再通过Householder变换和矩阵聚合的方式构造其余码本。
The thesis use spatial processing approach to process interference images. Then use Householder transformation to solve Zernike polynomial coefficients. 论文在对干涉图像处理时采用空域处理方法,最后使用Householder变换求解Zernike多项式的系数。
The fitting algorithm based on developed Gram-Schmidt orthogonalization and Householder transformation were put forward. The unknown Zernike coefficients could be wored out using these two fitting algorithm. 提出了基于改进的Gram-Schmidt正交化的拟合算法以及基于Householder变换的拟合算法来求解波前拟合中的未知模式系数。