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基于排序QR分解的MMSE算法解调VBLAST
- VBLAST编码，然后采用ZF-SIC,MMSE-SIC，MMSE-QR，MMSE-SQR等多种方法解码，适合于初学者。
QR分解的串行实现
- QR分解的串行实现
基于QR分解的总体最小二乘方法
- 基于QR分解的总体最小二乘方法 基于Matlab的程序,QR decomposition based on total least squares method
qr
- MPI 并行计算，处理经典QR分解问题，包含测试数据-MPI QR decomposition
QR
- 带双步位移的QR分解法求解矩阵的特征值和特征向量-With two-step displacement of the QR decomposition method for solving matrix eigenvalue and eigenvector
UCA_SMI
- QR分解SMI算法的目的正是要避免直接来解线性方程，而是将自相关矩阵分解，并利用Givens旋转实现数据矩阵的QR分解，最终将权矢量的求解问题转化为三角线性方程组的求解问题。-QR decomposition SMI algorithm, whose objective it is to avoid directly to solution of linear equations, but will auto-correlation matrix decomposition, and the u
QR
- 矩阵全部特征值的QR方法，包括化一般矩阵为上Hessenberg阵，平面旋转阵(Givens变换阵)，用 Givens变换对上Hessenberg阵作QR分解，原点平移加速的QR方法等-Eigenvalue matrix of all the QR methods, including the general of the Hessenberg matrix array, planar array rotation (Givens transformation matrix), with the
Vblast_QRmatlab
- MIMO无线通信系统VBLAST算法的Matlab实现（QR分解）-Matlab realization of a MIMO system using VBLAST method (QR decomposition)
qr
- 可用于一般及特殊矩阵即奇异矩阵进行QR分解-Can be used for general and special matrix that is singular matrix QR decomposition
MATLAB
- QR分解-householder reflection-householder reflection
QR
- 用QR分解来解方程AX=b，其中QR分解是用householder变换做的-With QR decomposition to solve the equation AX = b, where QR decomposition is done using householder transformation
qr
- OpenMP 实现QR 分解 环境 曙光 4000A集群-OpenMP to achieve QR decomposition Dawning 4000A cluster environment
QR
- 对一般矩阵的矩阵QR分解，其中R是对角线元素全为非负实数的上三角矩阵，Q为正交矩阵-QR factorization
QR
- 安装VC++和OPENCV库函数后可使用,实现OPENCV中的QR分解-Install VC++, and after OPENCV library functions used in the QR decomposition to achieve OPENCV
householderqr
- householder 矩阵 qr分解程序-householder matrix qr decomposition process
ChaosToolbox_lzb3.0
- 连续系统LE的计算方法主要有定义方法、QR分解方法、奇异值分解方法，或者通过求解系统的微分方程，得到微分方程解的时间序列，然后利用时间序列（即离散系统）的LE求解方法来计算得到(The partial differential equations modeling the system's stream function and temperature are subjected to a spectral approximation: the hydrodynamic fields are e
QR
- 自动识别矩阵规模，进行QR分解运算，采用HouseHolder变换做成上Hessenberg矩阵，然后通过Givens变换做QR分解。(The size of the matrix is automatically identified, the QR decomposition operation is performed, the HouseHolder transform is used to make the upper Hessenberg matrix, and then the Q
QR分解求矩阵特征值特征向量 C语言
- QR分解计算矩阵特征值、特征向量的 C语言实现(QR decomposition to calculate matrix eigenvalues and eigenvectors by C language)