yicichafen

生成DCT矩阵,只要简单输入矩阵的阶数,就可以返回一个用语DCT变换的矩阵 (Generation DCT matrix, a simple enter the order of the matrix, you can return to a term of the DCT transform matrix)

利用线性规划法编写的MATLAB程序，用于电力系统无功优化，用于学习交流(Prepared by using linear programming MATLAB program for power system reactive power optimization for the Learning Exchange)

通过MATLAB软件所建立的CRH2动车的模型。(Established through MATLAB software model CRH2 EMU.)

此程序为Gring通用EMD2007之后的版本，其对2003版做了改进，一个程序文件就可以实现EMD的分解(This program for version the Gring General EMD2007 after the 2003 version has been improved, a program file can be achieved EMD decomposition.)

说明：  matlab科学计算的几乎所有数学算法以及仿真。每一个m文件在我学习的时候都验证了其正确性。前面的比较简单，逐步深入。另外对部分算法本人在学习中做了优化，更简洁。(matlab scientific computing almost all mathematical algorithms and simulation. M each file in my learning at all times to verify its correctness. In front of a relatively simple step by step in depth. In addition to some algorithm I have done a study of optimization, a more concise.)

介绍了如何利用Matlab的代码生成功能将Simulink模型转换成目标语言模型的方法(The way that how to use the capability of Matlab in code generation to convert the mode1s constructed by Simulink to target language models is introduced)

光波导中光参量放大过程传播到L处的各光波波形图仿数值真matlab代码(Waveguide optical parametric amplification process spread to L is the value of the true light waveform simulation matlab code)

三电平级联npc逆变器的空间矢量调制的matlab仿真策略(3-level npc inverter svpwm model)

％ EM algorithm for k multidimensional Gaussian mixture estimation ％ ％ Inputs: ％ X(n,d) - input data, n=number of observations, d=dimension of variable ％ k - maximum number of Gaussian components allowed ％ ltol - percentage of the log likelihood difference between 2 iterations ([] for none) ％ maxiter - maximum number of iteration allowed ([] for none) ％ pflag - 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) ％ Init - structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) ％ ％ Ouputs: ％ W(1,k) - estimated weights of GM ％ M(d,k) - estimated mean vectors of GM ％ V(d,d,k) - estimated covariance matrices of GM ％ L - log likelihood of estimates ％( EM algorithm for k multidimensional Gaussian mixture estimation Inputs: X (n, d)- input data, n = number of observations, d = dimension of variable k- maximum number of Gaussian components allowed ltol- percentage of the log likelihood difference between 2 iterations ([] for none) maxiter- maximum number of iteration allowed ([] for none) pflag- 1 for plotting GM for 1D or 2D cases only, 0 otherwise ([] for none) Init- structure of initial W, M, V: Init.W, Init.M, Init.V ([] for none) Ouputs: W (1, k)- estimated weights of GM M (d, k)- estimated mean vectors of GM V (d, d, k)- estimated covariance matrices of GM L- log likelihood of estimates)

harmonic analysis in matlab