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Description: 内容包括:解线性代数方程组、插值、数值积分、待殊函数、函数逼近、随机数、排序、特征值问题、数据拟合、方程求根和非线性方程组求解、函数的极值和最优化、傅里叶变换谱方法、数据的统计描述、解常微分方程组、两点边值问题的解法和解偏微分方程组。每一个方法都包括功能、算法、使用说明、方法和例子五部分。-include : solution of linear algebraic equations, interpolation, numerical integration, it is pending, function approximation, random number, sequence, eigenvalue problem, data fitting equation Root and solve nonlinear equations, functions and the extreme optimization Fourier transform spectrum, the data statistical description, solution of ordinary differential equations. TPBVP Solution reconciliation partial differential equations. Each one includes functional methods, algorithms, use, methods and examples of five parts.
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Size: 1320983 |
Author: xiaoce |
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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
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Author: yidishui |
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Description: 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
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Size: 944 |
Author: 陈微 |
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Description: 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
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Size: 2562 |
Author: 杨洋 |
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Description: ％ 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.
％ If the steepest descent direction is small it computes a negative
％ curvature direction based on the most negative eigenvalue.
％ For singular matrices, returns steepest descent even if small.
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Size: 1611 |
Author: 张风 |
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Description: 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.
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Size: 2809 |
Author: 王芳 |
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Description: 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 prediction error analysis. UCI data from the database Ionosphere database, Statistics are 351 examples, and the output variable is two classification variables, representatives from the ionosphere radio reflection of the good and bad, A total of 32 eigenvalue. (Compressed package contains good data already processed)
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Size: 1192600 |
Author: 高 |
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Description: 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
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Size: 2218029 |
Author: 何安 |
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Description: Maximum eigenvalue and the corresponding eigenvector.-Maximum and the corresponding eigenvalue eigenvector.
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Size: 1376 |
Author: 金岳 |
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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.
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Size: 3685 |
Author: 刘泽奎 |
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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.
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Size: 852 |
Author: 陈涛 |
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Description: 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.
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Size: 430145 |
Author: 楊於 |
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Description: 1． Using power method to find the eigenvalue with maximum modulus and its eigenvector for the following matrixes
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Size: 84759 |
Author: 吕鹏 |
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Description: 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
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Size: 1522 |
Author: 啊啊 |
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Description: 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
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Size: 1864 |
Author: 啊啊 |
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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
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Size: 10484 |
Author: 王乐 |
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Description: 矩阵特征值的求解过程之一-matrix eigenvalue one of the solution process
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Size: 30619 |
Author: 赵宏滨 |
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Description: 矩阵特征值的求解过程之二-matrix eigenvalue of the solution process bis
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Size: 22670 |
Author: 赵宏滨 |
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Description: 矩阵特征值的求解过程之三-matrix eigenvalue of the solution process ter
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Size: 14394 |
Author: 赵宏滨 |
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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.
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Size: 1268 |
Author: 西晃云 |
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