myedgeanddivide

伪逆分类法的matlab实现，包含训练和测试部分(Pseudo-inverse classification matlab realization, including training and testing parts)

matlab实现时间序列分析，供初学者学习(Time series analysis matlab realize, for beginners to learn)

Abstract There are a number of interesting variable selection methods available beside the regular forward selection and stepwise selection methods. Such approaches include LASSO (Least Absolute Shrinkage and Selection Operator), least angle regression (LARS) and elastic net (LARS-EN) regression. There also exists a method for calculating principal components with sparse loadings. This software package contains Matlab implementations of these functions. The standard implementations of these functions are available as add-on packages in S-Plus and R. Keywords LASSO, LARS, SPCA, Matlab, Elastic Net, Sparse, Sparsity, Variable selection

详细的文档说明及完整的预测控制程序，一定会对你的学习大有帮助。(Detailed documentation and complete predictive control procedures will surely be helpful to your learning.)

DM算法实现水印的嵌入和提取，内有实验用图，可以直接运行。(DM algorithm for watermark embedding and extraction, within the experimental map, you can run directly.)

这个文件是matlab学习中的一些典型的例子，对于学习matlab的同学很有帮助。(This file is matlab learning some typical examples, very helpful for students to learn matlab.)

it just show the different type of signals and their matlab codes

Linear Spatial Pyramid Matching Using Sparse Coding 图像分类实现代码(Linear Spatial Pyramid Matching Using Sparse Coding image classification implementation code)

说明：  Jocobi算法，计算矩阵的特征向量和特征值。(Jocobi algorithm, computing matrix eigenvectors and eigenvalues.)

说明：  change raw and column of matrix