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SPECTRUM_LMS
- 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、SPE
qiutezhengzhidefangfa
- 利用C语言 用矩阵迭代法求矩阵的特征值和特征向量-C language matrix iterative method for matrix eigenvalue and eigenvector
lpclpcc
- 毕业设计中用到的语音资料的lpc特征值的提取-graduated from the design used in the voice data lpc eigenvalue extraction
COMPDIR
- ％ COMPDIR Computes a search direction in a subspace defined by Z. ％ Helper function for NLCONST. ％ Returns Newton direction if possible. ％ Returns random direction if gradient is small. ％ Otherwise, returns steepest descent direction. ％ I
PSWF_numerical
- 用特征值分解法获得长椭球波脉冲，并得到时域脉冲和功率谱。-using eigenvalue decomposition ellipsoid with long-wave pulse, and with time domain pulse and the power spectrum.
LogisticRegression
- 关于Logistic回归统计算法的matlab实现，内容包括建模、输出变量预测和预测误差分析。数据来自UCI数据库中的Ionosphere database，有351个统计实例，输出变量是二分类变量，代表电波从电离层反射的好坏情况，共有32个特征值。(压缩包中包含已经处理好的数据)-on Logistic regression algorithm to achieve the Matlab, including modeling, variable output forecast and pre
SegAndPosTools
- 实现语料的分割，和特征值的提取，还有bayes分类器-achieve Corpus segmentation, and eigenvalue extraction, and bayes classifier
maxeig
- Maximum eigenvalue and the corresponding eigenvector.-Maximum and the corresponding eigenvalue eigenvector.
cprogramtogetthecharactervalueofavector
- 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.
eig_mifa
- 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.
pca
- 小弟撰寫的類神經pca對圖片的壓縮與解壓縮,對來源圖片training過後,可使用該張圖像的特性(eigenvalue和eigenvetex)來對別張圖解壓縮,非常有趣的方式,再設定threashold時注意時值不要過大,因為這牽涉inverse matrex的計算.
qr
- 1． Using power method to find the eigenvalue with maximum modulus and its eigenvector for the following matrixes
雅可比过关法求实对称矩阵特征值与特征向量
- 雅可比过关法求实对称矩阵特征值与特征向量-Jacobian clearance France realistic symmetric matrix eigenvalue and eigenvector
qr方法求赫申伯格矩阵的全部特征值
- qr方法求赫申伯格矩阵的全部特征值-qr Hoeschen way for the full Burg matrix eigenvalue
numericalhomework
- 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
V9
- 矩阵特征值的求解过程之一-matrix eigenvalue one of the solution process
V1
- 矩阵特征值的求解过程之二-matrix eigenvalue of the solution process bis
V3
- 矩阵特征值的求解过程之三-matrix eigenvalue of the solution process ter
ppca
- 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
arpack++.tar
- ARPACK is a collection of Fortran77 subroutines designed to solve large scale eigenvalue problems.