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这是中国数学建模中编程交流上概率算法内容，里面提供了很多概率算法的例子(This is the exchange of mathematical modeling in the programming content on a probability algorithm, which provides many examples of probabilistic algorithms)

说明：  简单的产生PAM调制序列的M文件，可生成txt文件存储数据(Simple produce PAM modulation sequence of M files, it can create a TXT files stored data )

matlab 粒子滤波的程序，用来对多目标进行跟踪(matlab code for particle filter)

用AR模型和KARMAN功率谱对脉动风进行模拟，在此基础上叠加平均风，得到风序列(KARMAN power spectrum with AR model and simulate the fluctuating wind , the average wind overlay, get wind sequence)

平坦衰落信道的MATLAB仿真（有多普勒频移） (Flat fading channels MATLAB simulation (with Doppler shift))

声学回声消除步长控制算法matlab仿真(matlab acoutic echo cancellation)

基于matlab的用蚁群算法实现车辆派遣的最优问题(The optimal problem of vehicle dispatch based on ant colony algorithm based on MATLAB)

本程序是利用单端电气量依据行波原理实现故障测距的程序，需要较高的采样率以提高精度。(This procedure uses traveling wave principle of the single-terminal electrical information in accordance with the procedure of fault location, it requires a higher sampling rate in order to improve accuracy.)

精通matlab综合辅导与指南。。用c++编程实现的matlab计算。。(Proficient in matlab General counseling and guidance. . Programming using c++ implementation of matlab calculation. .)

Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components.