在网上找到的源代码，与大家一起分享

说明：  S函数的BP神经网络PID控制器Simulink仿真(S function of BP neural network PID controller Simulink simulation)

使用Matlab編寫的Gabor Filter範例程式(Matlab Gabor Filter Sample)

这是matlab编写的3个常用机器学习分类器代码。其中包括了： 1）PCA 分类其；2）LDA分类器：3）naive贝叶斯分类器。 3个算法的实现参考了《Introduction to Machine Learning》。 除了这3个分类算法的实现外，代码里面还包含了用于测试的main.m 主程序和一个实验的简要报告。实验在著名数据集acoustic_train_data 上进行。(This source code includes the implementation of three famous classifiers in machine learning. They are 1) PCA, 2) LDA and 3) Naive Bayesian. The detail theory behind these classifier can be found text book <<Introduction to Machine Learning>>. Besides the implementation of these 3 algorithms, the main.m for testing and a brief testing report is also included. (The testing is on data set acoustic_train_data) Enjoy:))

说明：  利用EKF实现单站相位差变化率定位，并计算CRLB、画GDOP图。参考文献为《一种快速高精度无源定位方法的研究》(Using EKF to locate the change rate of single station phase difference, calculate CRLB and draw GDOP diagram. References are "Research on a Fast and High Precision Passive Location Method")

Gabor小波提取特征matlab源码，支持向量量机作分类器，可以用于掌纹识别，人脸识别，指纹识别等。

说明：  处理在圆极化入射下的聚焦电场和相位。通过去除掉入射电场，把x,y,z分量的电场合成交叉极化的圆偏振电场，看到更好的聚焦效果(It deals with the focusing electric field and phase under circularly polarized incidence. By removing the incident electric field and synthesizing the X, y, z component electric field into the cross polarized circular polarized electric field, we can see the better focusing effect)

alamouti code for two transmitter and 1 receiver

线性分类器设计-感知机算法，对一组数据进行分类，分析w不同时的影响(Linear classifier design- Perceptron Algorithm)

对nsga2算法进行了修改，下载放到matlab运行即可用。(very good！)