gmd

识别简单表情的BP网络算法，使用Matlab实现，很好用，适合初学者，~(Identification of a simple expression of the BP network algorithm, the realization of the use of Matlab, a good use for beginners, ~)

说明：  改程序能求得卫星下行链路的传输速率和覆盖面积的关系(Procedures to obtain the relationship between the satellite downlink transmit date rate and coverage areas )

带Bonferroni的t检验。matlab源码(T-Test with Bonferroni. Matlab source code.)

matlab的各种程序 适合初学者参考学习交流(matlab code)

matlab-car区域方差,能量等，遥感影像处理小波变换(matlab-car regional variance, energy, etc., remote sensing image processing wavelet transforms)

这是一个用于线性分类的支持向量机SVM的MATLAB实现。此代码利用简单的MATLAB内置函数实验了SVM，不依赖LIBSVM等工具箱，并且提供了一个例子，以供初学者一开始对SVM有一个简单了解。(This is a matlab code of support vector machine.Here the SVM is achieved with some common matlab function. It is for SVM beginner. )

这是一个基于simulink的无刷直流电机的仿真模型，可以得出很好的仿真效果(This is a brushless DC motor based on simulink simulation model, simulation results can be obtained very good)

说明：  关于软件无线电中CIC滤波器的实现与仿真(On Software Radio CIC Filter Implementation and Simulation)

信道估计程序，ieee发表的文章对应的原码，本人已经验证，可以使用。(Channel estimation procedures, ieee post corresponding to the original code, I have verified that you can use.)

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