T-est

M/M/1 模型,主要用来求解单对单服务台的模型，过程比较简介，适合任何分布(M/M/1 model, mainly used to solve the one-on-one help desk model, the process is relatively brief, suitable for any distribution)

implement of IFSAR using matlab (implement of IFSAR using matlab)

matlab 动画功能函数movie的演示程序(matlab movie demo)

说明：  一本关于时域有限差分介绍的书籍，含MATLAB开发的程序代码。(An introduction on the finite-difference time-domain books, including the development of MATLAB code.)

用matlab实现Elman神经网络(Elman neural network using matlab)

模型预测控制非常基础的程序，里面的注释也很全面(model predictive control)

simulation power quallity in matlab simunik

《matlab应用大全》赵海滨编著，清华大学出版社，第四章主讲字符串分析(The application of matlab Zhao Haibin compiled, tsinghua university press, the fourth chapter analysis on strings)

说明：  利用matlab提取出频域和时域信号的29个特征(Using MATLAB to extract 29 features of frequency and time domain signals)

用于分类的主判别变量算法(principal discriminant variate algorithm) ( principal discriminant variate algorithm for two classes, x1 and x2. x1 is the training samples in the 1st class with each column being the spectrum characterizing the corresponding sample. x2 is the training samples in the 2nd class with each column being the spectrum characterizing the corresponding sample. lamda is the penalty weight defining the balance between FLDA and PCA. dvnum is the number of principal discriminant variates to be computed. A defaul value for dvnum is 2. dv is the principal discriminant variates. scores is the matrix with each row being the scores of the samples on the corresponding principal discriminant variate. xmean is the mean spectra of the sample, which was used for mean-centering the data in training and prediction. )