ChineseLDPCGeneratorMatix_0_4

统计模式识别工具箱（Statistical Pattern Recognition Toolbox）包含： 1，Analysis of linear discriminant function 2，Feature extraction: Linear Discriminant Analysis 3，Probability distribution estimation and clustering 4，Support Vector and other Kernel Machines( This section should give the reader a quick overview of the methods implemented in STPRtool. • Analysis of linear discriminant function: Perceptron algorithm and multiclass modification. Kozinec’s algorithm. Fisher Linear Discriminant. A collection of known algorithms solving the Generalized Anderson’s Task. • Feature extraction: Linear Discriminant Analysis. Principal Component Analysis (PCA). Kernel PCA. Greedy Kernel PCA. Generalized Discriminant Analysis. • Probability distribution estimation and clustering: Gaussian Mixture Models. Expectation-Maximization algorithm. Minimax probability estimation. K-means clustering. • Support Vector and other Kernel Machines: Sequential Minimal Optimizer (SMO). Matlab Optimization toolbox based algorithms. Interface to the SVMlight software. Decomposition approaches to train the Multi-class SVM classifiers. Multi-class BSVM formulation trained by Kozinec’s algorithm, Mitchell- Demyanov-Molozenov algorithm )

这三个小程序都是matlab的.m文件，分别实现用灰度变换的方法增强图像的对比度和直方图均匀化，模拟图像受高斯白噪声和椒盐噪声的影响。(The three procedures are Matlab. M documents, were used to achieve gray transform method to enhance the contrast of the image and histogram equalization. Simulation images by white Gaussian noise and the noise of Salt and Pepper.)

利用matlab计算点飞行航程的教程 清晰易懂~(Calculation points using matlab tutorial flight from lucid ~)

运用非负矩阵分解算法分解原始数据矩阵，得到基矩阵和系数矩阵，并用于信号分离。(The non-negative matrix decomposition algorithm is used to decompose the original data matrix, and the base matrix and coefficient matrix are obtained.)

利用matlab对数据进行方差分析，有现成代码和案例数据可使用(Use of matlab data analysis of variance, have a ready-made code and data can use cases )

toujours le traitement d image avec matlab reste un domaine très vaste

说明：  bp神经网络的相关MATLAB实现，源码被保存在txt文件中，需要自行粘贴即可(Related MATLAB bp neural network implementations, source code is stored in the txt file, you need to stick to their own)

说明：  对故障数据的小波包分解与信号重构、小波包能量特征提取 暨 小波包分解后实现按频率大小分布重新排列，并进行降噪处理。(After wavelet packet decomposition and signal reconstruction, wavelet packet energy feature extraction and wavelet packet decomposition, the fault data can be rearranged according to the frequency distribution, and the noise can be reduced.)

使用K－均值聚类算法在IRIS数据上进行聚类分析.(K-means clustering algorithm using IRIS data in the cluster analysis.)

Digital signal processing using Matlab一書之範例程式(Digital signal processing using Matlab a book of examples of programs)