xiaoboSVM

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

cdma matlab codes working

matlab code for ploting bar chat with columns filled by specified background

有关通讯系统QPSK调制和解调理论值的仿真(QPSK modulation and demodulation in Matlab)

一级倒立摆系统模糊控制的Matlab仿真程序，模糊控制器根据Matlab工具包里的slcp.fis修改。超调量很小(Matlab simulation program, an inverted pendulum system fuzzy control fuzzy controller based Matlab toolkit slcp.fis to modify. Overshoot is small)

Exact Recovery of Sparsely-Used Dictionaries

说明：  matlab圆柱投影的代码，辛苦管理员了，初学者，求教啊(Matlab code of cylindrical projection, hard administrator, beginners, for advice )

MATLAB 常用函数参考 MATLAB 程式设计与应用(MATLAB function reference used MATLAB programming and application )

rosenbroc function. extract and check for correctness

主成分分析，用于海洋、气象，将多个变量通过线性变换以选出较少个数重要变量的一种多元统计分析方法。(Principal component analysis for the ocean, weather, several variables by linear transformation to elect a number of multivariate statistical analysis less important variables.)