搜索资源列表
power
- Power method of solution for highest/lowest eigen value.
eigenvalues_decomposition
- stand alone header file implementing eigen value decomposition for a symmetric matrix-stand alone header file implementing eigen value decomposition for a symmetric matrix
eigenvalue
- Power method of solution for highest/lowest eigen value
eigen
- eige value problems in math
PS3_ques1ab
- 2-dimensional PCA implementation for different mean. Using highest eigen value to project the data.
Power
- Eigen value extraction by Power Method
exprony_ma
- 求取系统特征模态,以及参数辨识使用。采用扩展的prony算法。-eigen value dentification
checksmalleigen
- to check for smaller eigen value
EVD1
- eigen value decomposition method for acoustic source localization Matlab source codes
EigenVal_J
- 基于“脉动”结构 求 任意偶数阶实对称阵的特征值，用于MIMO通信反馈信道质量，已经在实际产品实现。( 注：脉动结构只需O(n*log(n))量级运算，高效快速)-"Systolic Arrays" structure based Eigen Value Decomposition
project1.tar
- Finite element code for solving eigen value problem.
Code1
- 3.Bifurcation analysis Bifurcation analysis has to be done for finding the different eigen values. eigen value plot has to be made for understanding the movement of the eigen values stable to unstable region to understand the stability of the syste
Az
- calculation of eigen-value
delayspre
- required by the algorithm[8]. The step size parameter controls the convergence speed. Hence the algorithm depends on the step size. The step size is a positive constant value which control the size of increment applied in one iteration to the next. T
gramsmt2_change
- Eigen value problem formulation
Calculate Eigen Value Using Rayleigh's Method
- This source code in Matlab calculate the Eigen value of a matrix using Rayleigh's Method.
EigValAnly_CohandIncoh_Noise
- 阵列接收空间相关和不相关噪声的特征值分析-Eigen value anlysis for incoherent and Coherent noise in Array signal Processing
Jacobi
- Parallel jacobi eigen value calculater
EigsViaDet
- Computing eigenvalues by sampling the determinant
matrix_relatedAlgorithm
- 矩阵先关运算，比如特征值分解，矩阵求逆。(Matrix related computation code, such as eigen value compuation, matrix inversion, etc.)