qiyipu

人体脑信号波形检测与分析，包含自相关，功率谱分析的方法(human brain signal waveform detection and analysis, including autocorrelation, power spectrum analysis method)

Matlab图形图像处理函数命令Graphics and Image Processing Matlab function commands(Graphics and Image Processing Matlab function commands Graphics and Image Processing Matlab function commands)

两个简单文件，提供对list的插入，删除等操作，第一个上载程序，(tow simple c file ,provide the list insert ,delete, )

Analyze performance of 3D FDTD algorithm for large systems.

提出了一种改进的基于垂直投影特征值的 分割算法(An improved vertical projection based segmentation algorithm for eigenvalue)

adptc the code for adptc its an exellent one

化学计量学中用于分辨的HELP方法！目前是世界上最好的分辨方法！此上传为以可视化的软件！(chemical metrology used to distinguish between the methods HELP! At present the world is the best way to distinguish! Chn to this visualization software!)

多变量灰色预测模型算法的Matlab实现，一个网络流量模型与算法(Multivariate prediction model gray Matlab implementation of the algorithm, a network traffic model and algorithm)

可以进行很多常见的平差测量计算 免去自己动手计算的麻烦(Adjustment can be many common measurement and calculation eliminates the trouble of calculating it yourself)

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