A-Course-of-Mathematical-Modelling

P and M class PMU examples for MATLAB

对随机信号的功率谱估计，采用多重信号分类进行频率估计(Estimate of the power spectrum of random signals, signal classification using multiple frequency estimation)

渐变风模型，用MATLAB 仿真了渐变风的运行状态(The gradient wind model, MATLAB simulation of the gradient wind running state)

功率谱密度估计。welch法功率谱密度估计，协方差法估计，Burg法估计。(psd estimate。welch，covariance，Burg。)

说明：  采用matlab编程实现蚁群算法工具箱，次此程序为matlab蚁群算法工具箱的源代码(The ant colony algorithm toolbox is realized by MATLAB programming, and the source code of the MATLAB ant colony algorithm toolbox is the next.)

说明：  关于孤子的求解和微扰对孤子的影响，特别画出了孤子的微扰的过程图(Perturbation on the soliton solution and the impact on the soliton, in particular, the soliton perturbation draw process maps)

88E1111S 88E1118R circuit application

基于QR分解的波束成形，掐你条件是已知信道完全信息，然后对信道状态H进行分解，求出波束赋形矩阵(Beam forming based on QR decomposition, pinch your condition is known channel completely, and then decompose the channel state H, and calculate beamforming matrix)

混响的算法，效果良好，可根据自己需求调节(Reverb algorithms, to good effect, according to their own needs adjustment)

用matlab 实现各种算法，如burg算法，LMS算法，比较基础，适合初学者。(Using matlab implementation of various algorithms, such as burg algorithm, LMS algorithm, a comparative basis, suitable for beginners.)