modelseis

隐马尔科夫过程预测编码，对于使用或研究隐马尔科夫模型的人会有帮助。(Hidden Markov process predictive coding, for the use of hidden Markov models or research who will help.)

S－函数是System function 系统函数的简称，是指采用非图形化（即计算机语言，而非Simulink 系统模块）的方式描述的功能模块。在MATLAB 中，用户除了可以使用MATLAB 代码编写S－函数以外，还 可以使用C、C＋＋、FORTRAN 或Ada 语言编写S－函数，只不过用这些语言编写程序时需要用编译器生成 动态连接库（DLL）文件，然后在Simulink 中直接调用(S-function System Function system function, refers to the use of non-graphical (ie computer language, rather than the Simulink system module) way described functional modules. In MATLAB, the user can use MATLAB code to write the S-function outside can use C, C++, FORTRAN or Ada language preparation of the S-function, only in these languages ​ ​ to write programs need to use the compiler to generate dynamic link library (DLL ) file, and then called directly in Simulink)

10年数模赛题alpha、beta角求法，利用最小二乘法求解(10 model years of the contest problems alpha, beta angle Method, using the least squares method)

船舶参数横摇模型，与实验数据曲线的对比，包括20组实验数据(Parametric Rolling Model of ship, and compared with the experimental data curve, including 20 groups of experimental data )

TOOL PATH OPTIMIZATION FOR DRILLING HOLE PROCESS BASED ON GENETIC ALGORITH

天线建模和matlab仿真 (Antenna modeling and simulation matlab)

基于滞环控制的单相并网逆变器仿真，可以学习一下(Based hysteresis control of single-phase grid-connected inverter simulation, you can learn about)

说明：  音频测试：频谱分析专用，附FIR，IIR，高通，低通，带通滤波器(Audio test: special for spectrum analysis, with fir, IIR, high pass, low pass, band-pass filter)

说明：  （1）应用9×9的窗口对上述图象进行随机抽样，共抽样200块子图象； （2）将所有子图象按列相接变成一个81维的行向量； （3）对所有200个行向量进行KL变换，求出其对应的协方差矩阵的特征向量和特征值，按降序排列特征值以及所对应的特征向量； （4）选择前40个最大特征值所对应的特征向量作为主元，将原图象块向这40个特征向量上投影，所获得的投影系数就是这个子块的特征向量。 （5）求出所有子块的特征向量。 ((1) the application of 9 × 9 window of these images at random, a total sample of 200 sub-image (2) all sub-images according to out-phase into a 81-dimensional row vector (3) all 200 lines for KL transform vector, derived its corresponding covariance matrix of eigenvectors and eigenvalues, in descending order by eigenvalue and the corresponding eigenvector (4) a choice to 40 corresponding to the largest eigenvalue eigenvector as the PCA, the original image block to the 40 feature vectors on the projection, the projection coefficients obtained by this sub-block eigenvector. (5) calculated for all sub-block eigenvector.)

稀疏矩阵的输入 200x200大矩阵的巧妙输入 (Clever input sparse matrix input 200x200 matrix)