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NMFLABSP_ver1.2.zip
- 盲源分离算法中，另一新的理论，非负矩阵分解（NMF）。数据包中有代码及GUI,Blind source separation algorithm, another new theory, non-negative matrix factorization (NMF). Packet has the code and GUI
ldlt
- 计算具有A=L*D*L 形式的Cholesky因式分解，适用于一些特殊矩阵。-Calculated with A = L* D* L ' forms of Cholesky factorization for some special matrices.
linear_system
- 一个自动控制专业的实用程序。以一个四阶系统为例，对任意的参数矩阵 研究其反馈镇定性，通过因式分解法，得到所有能镇定G的 一般形式的K值，用matlab进行了仿真。-Automatic control of a professional utility. A fourth-order system as an example, the parameters of any study the feedback stabilization of the matrix, and through the
FHSVD
- HankelToeplitz and Takagi Factorization Package
LKTK
- Recovering 3-D structure from motion in noisy 2-D images is a problem addressed by many vision system researchers. By consistently tracking feature points of interest across multiple images using a methodology first described by Lucas-Kanade, a 3-D s
a
- 基于非负矩阵分解（NMF）的人脸特征提取算法，NMF基本思想是找到一个线性子空间W，使的构成子空间的基本图像的像素点都是正值，而且人脸图像在子空间上的投影系数也是正数-Non-negative Matrix Factorization (NMF) of facial feature extraction algorithm, NMF basic idea is to find a linear sub-space W, so that the composition of sub-space o
work
- QR factorization of an m × n matrix A with m ≥ n is a pair of matrices A = QR
matlab_sym
- matlab符号表达式、符号矩阵的创建、符号线性代数因式分解、展开和简化符号代数方程求解、符号微积分符号微分方程-matlab symbolic expression, the creation of the matrix symbol, symbols, linear algebra factorization, and simplification of symbolic start to solve algebraic equations, symbols, symbol differen
projrecons-25-Feb-01.tar
- Assorted projective reconstruction routines: a few "simple as possible" variants on our projective factorization method in Octave/MATLAB.
rls_identifikation
- RLS identification algorithm. RLS is used to identify a discrete time model of a plant operating in open-loop based on the recursive least squares method and the UD factorization for updating the adaption gain matrix (F).-RLS identification algori
Gauss_E_Pivoting
- Gaussian Elimination with partial pivoting (LU factorization)
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:
Comparison_of_QR_Factorization_Algorithms
- Comparison of QR Factorization Algorithms (Matlab scr ipt)
tridiagSolvers
- tridiagLU Obtain the LU factorization of a tridiagonal matrix-tridiagLU Obtain the LU factorization of a tridiagonal matrix
cab
- Echelon factorization A = c a b.
elim
- EA=R factorization in matlabn
plu
- Rectangular PA=LU factorization *with row exchanges*.
slu
- LU factorization of a square matrix using *no row exchanges*.
splu
- Square PA=LU factorization *with row exchanges*.