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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_algrithm.rar
- 求矩阵特征值和特征向量的算法：QR算法。用于线性方程组的求解，和反幂法算法的设计,Matrix eigenvalues and eigenvectors of the algorithm: QR algorithm. For linear equations, and anti-power-law algorithm design
BLAST_QR1.rar
- MIMO系统采用QR检测算法的MATLAT仿真程序,mimo qr
qr_rls
- 一个QR-RLS算法matlab程序，用于预失真技术。-A QR-RLS algorithm matlab program for pre-distortion technology.
chengmi
- 三种求矩阵特征值的matlab实现：乘幂法、QR算法、yaccbi法求特征值-Eigenvalues of the three Matrix matlab implementation: power method, QR algorithm, yaccbi Eigenvalue Method
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
work
- QR factorization of an m × n matrix A with m ≥ n is a pair of matrices A = QR
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)
MATLAB
- QR分解-householder reflection-householder reflection
Pro
- vblastpic1:tx=2,rx=2时ZF,ZF-SIC,MMSE -SICvblastpic2:tx=4,rx=4时ZF,ZF-SIC,MMSE -SIC vblastpic3 vblastpic4:MIMO vblastpic6:tx=4,rx=4, vblastpic7ZF-SIC(unordered) vblastpic8: vblastpic9: vblastpic10: vblastpic11:能 vblastpic12:tx=2,rx=2,M
Modi_Gram_S
- modified Gram-Schmidt (reduced QR factorization). A is a m-by-n matrix(m>=n)
Gram_S
- classical Gram-Schmidt(unstable) (reduced QR factorization).A:m-by-n matrix. (m>=n)Q:m-by-n unitary matrix.R:n-by-n upper triangular.-classical Gram-Schmidt(unstable) (reduced QR factorization).A:m-by-n matrix. (m>=n)Q:m-by-n unitary matrix.R:
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
Comparison_of_QR_Factorization_Algorithms
- Comparison of QR Factorization Algorithms (Matlab scr ipt)
qr_eigenvalues
- qr法求特征值和特征向量 QR法能够避免矩阵奇异带来的错误，并能求解特征值有重根的情况-qr France seek eigenvalues and eigenvectors QR method can avoid the matrix singularity caused by errors, and can solve the eigenvalue of the double roots
QR_factorization
- These are the QR/RQ factorization techniques required for the Zero forcing detection technique for MIMO.
QRGivens
- QR decomposition via Givens rotations.
QR
- 利用QR算法解household变换阵，用Householder变换法对矩阵A作正交分解-QR Algorithm for household use transformation matrix
iphone
- 二维码编码，QR码实现，Two-dimensional coding, QR code to achieve, Two-dimensional coding-Two-dimensional coding, QR code to achieve, Two-dimensional coding
Blast_QR
- QR分解的编码，可以直观的看到编码的过程-base on OR