Alamouti_schemes

编写的粒子群(PSO)算法优化Kmeans聚类的MATLAB代码，MATLAB6.5/7.1测试通过，其它版本没测试。((PSO)Kmeans MATLAB6.5/7.1)

Matlab, PML, FDTD, 3D

LDPC码的PEG构造,用matlab编写，希望对大家有所帮助。(The LDPC code PEG constructed matlab write, we want to help.)

经过自己长时间的学习，编写了可实现机器人PID控制的matlab仿真程序。(Through their long learning, written a robot PID control matlab simulation program.)

对于bpsk直扩系统的误码仿真，直扩系统对于功率、频偏、相偏的鲁棒性。(For bpsk DSSS BER simulation systems, direct expansion systems for power, frequency offset, phase offset robustness. .)

包含优化类的几个简单示例程序，代码里有很完整的注释和解释，这是第二能量熵的matlab代码。( Optimization class contains several simple sample programs, Code, there are very complete notes and explanations This is the second energy entropy matlab code.)

matlab 实例100 1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇 (100 1-32 is an example matlab: graphics applications is 33-66 Part: Part 67-84 interface design is: graphics processing chapter 85-100 are: Numerical Analysis Section)

模式识别。PCA实例，经调试可用，希望能帮到需要的人。(Pattern Recognition. PCA instance, debugging is available, I hope to help people in need.)

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

基于纹理特征的图像检索源码，通过双树复小波进行纹理特征提取(Texture-based image retrieval source, through the dual tree complex wavelet texture feature extraction)