搜索资源列表
Jacobi-mathod
- 数值分析古典Jacobi方法求实对称矩阵所有特征值和特征向量-Classical Jacobi method for numerical analysis of the Symmetrical Matrix eigenvalues and eigenvectors for all
eig
- Complex eigenvalues and eigenvectors
chengmifa
- 乘幂法 求绝对值最大的特征值 数字计算 数值计算-Power law the largest eigenvalues of absolute value figures
dhcp
- DHCP特征码解析源文件，可通过词源文件获得分析特征值-DHCP signature parsing the source file, the file can be obtained through the etymology of eigenvalues
bittorrent
- BT特征码解析源文件，可通过词源文件获得分析特征值-BTsignature parsing the source file, the file can be obtained through the etymology of eigenvalues
flash
- flash特征码解析源文件，可通过词源文件获得分析特征值-flash signature parsing the source file, the file can be obtained through the etymology of eigenvalues
Exercise
- 用C实现的使用幂法和反幂法求取矩阵按模最大和最小特征值。-C achieved with the use of the power method and inverse power mode of calculating the matrix by the maximum and minimum eigenvalues.
FaceDetect
- 本软件主要用到的图像处理技术是：光线补偿、高斯平滑和二值化。在识别前，先对图像进行补光处理，再通过肤色获得可能的脸部区域，最后根据人脸固有眼睛的对称性来确定是否就是人脸，同时采用高斯平滑来消除图像的噪声，再进行二值化，二值化主要采用局域取阈值方法，接下来就进行定位、提取特征值和识别等操作。经过测试，图像预处理模块对图像的处理达到了较好的效果，提高了定位和识别的正确率。 -The software is mainly used in image processing technology: l
givenhousehold
- 利用该程序可计算任意对称矩阵M，给出区间(a,b)上的特征值个数-Calculated using this program any symmetric matrix M, gives the interval (a, b) on the eigenvalues
qiutezhenggen
- 使用QR算法求对称矩阵的特征值和特征向量-QR Algorithm for Symmetric matrix with the eigenvalues and eigenvectors
matrix-tezhengzhijisuan
- 通过求矩阵特征多项式的根来求其特征值 幂法求矩阵的主特征值及主特征向量 瑞利商加速幂法求对称矩阵的主特征值及主特征向量 收缩法求矩阵全部特征值 收缩法求矩阵全部特征值 位移逆幂法求矩阵离某个常数最近的特征值及其对应的特征向量 QR基本算法求矩阵全部特征值 -Characteristic polynomial by the root of a matrix to find the eigenvalues of a matrix power m
BA
- 本程序给出了BA模型建模以及求解其特征值的方法。-BA seeking process model eigenvalues
18241674calcPCA
- 利用Visualc++简单快速计算矩阵的特征值和特征向量 -Using Visualc++ is simple and fast calculation of eigenvalues and eigenvectors
0qrjava
- 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 algorithms: QR algorithm. For solving linear equations, and inverse power law algorithm design
j
- 求矩阵特征值和特征向量，一些基本类型的矩阵求解方法实现，解法和试题-Matrix eigenvalues and eigenvectors, some of the basic types of matrix solution method implemented method and questions
PCA
- PCA算法。PCA的目的是找到能够分离出最大方差的方向，所以首先求原来所有数据三个维度上的协方差，然后求这个协方差的特征值，最大特征值为第一个方向，从此以此类推。-PCA algorithm. The purpose of PCA is to find able to isolate the direction of maximum variance, so first find all the data in three dimensions on the original covarianc
adaptive-first-order-pertubation
- 本程序运用一阶扰动理论自适应特征值方法的跟踪信号子空间，然后运用ESPRIT算法 跟踪信源的时变DOA-this matlab code(program) apply the First-Order Perturbations trak the signal subspace and eigenvalues,and then perform the time-variant or time-invariant DOA through the subspace tracked via the
hessenberg
- 把复矩阵上hessenberg化,再应用qr算法可以求矩阵的特征值和特征向量-Hessenberg based on the complex matrix, then apply the qr algorithm can find eigenvalues ??and eigenvectors
Principal-contens-analysis(PCA)
- 用于主成分分析（PCA）,包括，原变量相关系数矩阵的特征向量和特征值的求解，主成分的提取，载荷值的确定等-Used principal component analysis (PCA), including the original variable correlation matrix eigenvectors and eigenvalues of the solution, the main component of the extract, load value
chap05-Polynomial-Interpolation
- 04-05 Engineering Problems involving vibrations, elasticity, oscillating systems, etc., Determine the eigenvalues for n homogenous linear equations in n unknowns -Engineering Problems involving vibrations, elasticity, oscillating systems, etc.,