bayesian

说明：  k-中心与qpso算法的结合，从文档中读取对象数据，没有维限制。需要设定类别数，先由k-中心计算出各类中心，然后由qpso优化，得到聚类结果，并保存聚类信息。(algorithm for k-medians and qpso combination of object data read from the document, there is no dimension restrictions. Need to set the number of categories, first calculate the k-medians types of center, and then optimized by qpso obtained clustering results, and save the clustering of information.)

box mullar approach,data we can build by this function

时延估计源代码，互相关函数和自适应滤波法，可用于声源定位(TDE source code, cross-correlation function and adaptive filtering)

matlab语言，编写一个简单的遗传算法程序(Matlab language, write a simple genetic algorithm program)

curvelet变换matlab程序和c程序(curvelet transform)

particle filter learning for target tracking applications

在matlab中对时间序列进行AR建模后采用卡尔曼滤波对比预测和实际的差别。应用于嵌入式实时信号处理(Using the difference between the predicted and actual comparison of the Kalman filter AR modeling of time series.)

说明：  林家浩教授和张亚辉教授的专著《随机振动的虚拟激励法》(Professor Lin Jiahao and Professor Zhang Yahui the monograph random vibration of the pseudo-excitation method)

matlab 学习资料 第一部分 MATLAB语言基础 (matlab the first part of learning materials based on MATLAB language)

Matlab Coce for PCA 1