Description: 乘幂法求矩阵最大特征值函数形参分别为所求矩阵及矩阵的行列数-207.142.131.235 France for the largest matrix eigenvalue shape function parameters for the request matrix and the ranks of several matrix Platform: |
Size: 1441 |
Author:shy |
Hits:
Description: 本程序的运行环境为matlab6.5，在command window下输入数据x和a，然后调用函数pca（x，a）（即本程序的主程序）输入的两个参数的意义是：一个是样本数据x，另外一个是主成分累积贡献率的一个闸值，作为选定主成分个数的一个重要数据。
即可得到样本的协方差矩阵，相关矩阵，相关矩阵的特征根及特征向量，主成分个数和主成分负荷矩阵。
-the procedures for the environment matlab6.5. under the command window in the input data and a x, then the function call pca (x, a) (that is the main program of the procedures) and input parameters of the two is the meaning of : a sample data is x, Another is a principal component of the cumulative contribution rate of a gate value, as a principal component selected a number of important data. Samples can be the covariance matrix, the correlation matrix, a correlation matrix eigenvalue and eigenvector. Principal component and the number of principal components load matrix. Platform: |
Size: 1466 |
Author:郑可可 |
Hits:
Description: 这是数值分析的作业，主要是求矩阵特征值等-This is the numerical analysis of the operation, mainly for matrix eigenvalue etc. Platform: |
Size: 17486 |
Author:许广伟 |
Hits:
Description: 以前使用matlab和vc混合编程都使用的是先将m程序用mcc转化成dll，再在vc中调用
的方法。这种方法对比较复杂的m文件很方便，但是对一些小的程序，如曲线可视化、计算矩阵特征值等，对这些只需要一两行代码的小程序，再使用dll就得不偿失了。经过试验后，发现可以直接在C++程序中调用matlab c/c++ math & graphic library的函数。-before using Matlab and vc mixed programming using the first procedure used mcc m into dl l, then vc call method. This method of complex documents m very easy, but for some minor procedures, such as curve visualization, matrix eigenvalue calculation, and so on, these are just two lines need a small procedure code, reuse dll on the loss outweighs the gain. After testing, can be found directly in the C Programming Calling Matlab c / c math Platform: |
Size: 4621 |
Author:zhangjuan |
Hits:
Description: 实现有一般矩阵到共生矩阵的算法，并求出共生矩阵的几个特征值,-achieve a general matrix of the co-occurrence matrix algorithm, and the results obtained several symbiotic matrix eigenvalue Platform: |
Size: 17251 |
Author:chenle |
Hits:
Description: 1、文件夹中包含了经典功率谱估计和自适应均衡算法两个实验的所有程序。
2、R.m、LMS.m、LMSmain.m为自适应均衡算法的程序：
R.m用来计算输入信号的自相关矩阵及其特征值；
LMS.m为时域LMS算法，用统计的方法仿真得出不同信道参数和不同步长下的学习曲线； LMSmain.m为实验主程序，按照实验要求中的具体数据得到实验结果和曲线。
3、functionx.m、fzhouqitu.m、spectrum.m、bt.m、bart_lett.m、welch.m、SPECTRUMmain.m为经典谱估计的程序：
functionx.m产生需要进行谱估计的函数；
fzhouqitu.m用来计算信号周期图的函数；
spectrum.m是用周期图法进行谱估计的函数
bt.m是用BT图法进行谱估计的函数
bart_lett.m是用BARTLETT法进行谱估计的函数
welch.m是用WELCH法进行谱估计的函数
SPECTRUMmain.m是主程序，按照实验要求中的具体数据得到实验结果和曲线。 -a document folder contains the classic power spectrum estimation and adaptive equalization algorithm for the two experiments all the procedures. 2, R.m, LMS.m, LMSmain.m adaptive equalization algorithm for the procedure : R.m used to calculate the input signal and the correlation matrix eigenvalue; LMS.m too LMS algorithm, use statistical simulation method come to a different channel parameters and the synchronous learning curve; LMSmain.m main program for the experiment, according to the experimental requirements of the specific data and the curve of the experimental results. 3, functionx.m, fzhouqitu.m, spectrum.m. bt.m, bart_lett.m, welch.m. SPECTRUMmain.m classical spectrum estimation procedures : functionx.m have a need for spectrum estimation function; fzhouqitu.m used to calculate t Platform: |
Size: 5630 |
Author:yidishui |
Hits:
Description: c语言矩阵特征值求解代码，在求解特征选择和特征提取时候使用的。欢迎各位测试，提意见。-c matrix eigenvalue language code for the solution of feature selection and feature extraction often used. Welcome to test opinions. Platform: |
Size: 3685 |
Author:刘泽奎 |
Hits:
Description: 用幂法求矩阵的特征值，求出来的是矩阵最大的特征和对应的特征向量。-method for using the power of the matrix eigenvalue, seeking the Matrix is the biggest character and the corresponding eigenvector. Platform: |
Size: 852 |
Author:陈涛 |
Hits:
Description: 求解矩阵的最大最小特征值及对应的特征向量，以及计算条件数-solving matrix eigenvalue largest and the smallest corresponding eigenvectors and calculate several conditions Platform: |
Size: 10484 |
Author:王乐 |
Hits:
Description: Probabilistic Principal Components Analysis. [VAR, U, LAMBDA] = PPCA(X, PPCA_DIM) computes the principal
％ component subspace U of dimension PPCA_DIM using a centred covariance
matrix X. The variable VAR contains the off-subspace variance (which
is assumed to be spherical), while the vector LAMBDA contains the
variances of each of the principal components. This is computed
using the eigenvalue and eigenvector decomposition of X. Platform: |
Size: 1268 |
Author:西晃云 |
Hits:
Description: 矩阵特征值与特征向量的计算约化对称矩阵为对称对角阵的豪斯荷尔镕变换法似对称三对角阵的全部特征值、特征向量的计算等-Matrix eigenvalues and eigenvectors of the calculation about symmetry symmetric matrix diagonal matrix ho Shihemi Rong transform it symmetric tridiagonal matrix eigenvalue all, the eigenvectors of calculation Platform: |
Size: 7975 |
Author:樊继东 |
Hits:
Search - eigenvalue matrix