pattern-and-Intelligent

高阶buck电路的模型降阶，krylov子空间法，arnoldi算法(the reduction of the full-order model of Buck converter,Krylov subspace,Arnoldi algorithm)

说明：  基于线性矩阵不等式的H无穷车辆横向控制matlab仿真(Matlab simulation of H-infinite vehicle lateral control based on linear matrix inequality)

数字图像处理姚敏版第四章图像增强所有例子的matlab完整代码 可运行(Yao Min version of Digital Image Processing Image Enhancement Chapter complete code for all examples can be run matlab)

这是一本有限元分析的书，里面有Ｍａｔｈｅｍａｔｉｃａ代码和ＭＡＴＬＡＢ代码，举例丰富，内容很好。(This is a book of finite element analysis, Mathematica code and MATLAB code, for example rich content well.)

用有限差分法求解矩形域上的laplace方程的matlab程序(laplace Equation)

本matlab程序主要是处理稀疏信号重构问题的，基于L1迭代阈值算法进行恢复的。（软阈值算法）(The matlab program mainly sparse signal reconstruction problems, L1 iterative thresholding algorithm based recovery. (Soft thresholding algorithm))

这是一个永磁同步电机直接转矩控制的例程，包含mdl文件以及m文件，可直接运行(This is a permanent magnet synchronous motor direct torque control routines, including MDL files and M files, can be directly run.)

对带磁滞环的驱动器进行建模，可用于模型估计(Prandtl-Ishlinskii hysteresis model for hystersis in actuator)

（压缩包里一共有5个代码） pca+lda+粗糙集+模糊神经网络 saveORLimage.m将ORL人脸库分为测试集ptest和训练集pstudy存为imagedata.mat 1.savelda.m将人脸库先进行pca降维，再用lda进行特征提取，得到新的测试集ldatest和训练集ldastudy存为imageldadata.mat 2.对ldastudy进行离散化(discretimage.m)，得到离散化矩阵disdata,存入到imagedisdata.mat 3.将disdata组成决策表(savers.m)，通过对disdata的条件属性进行约简，得到其一个约简，组成新的测试集rstest和训练集rsstudy存为imagersdata.mat 4.对rsstudy进行模糊神经网络训练(savecul.m)，对模糊神经网络的参数进行调整学习将其存入culdata.mat 5.用runfnn.m对rstest进行测试得到其识别率 savem.m和cm.m是用最小距离分类器对训练集和测试集进行分类.(pca+ lda+ Rough Set+ fuzzy neural network saveORLimage.m will ORL face database is divided into test set and training set ptest for pstudy keep imagedata.mat Treasury will face 1.savelda.m first dimensionality reduction pca, lda used feature extraction, a new test set and training set ldatest for ldastudy keep imageldadata.mat 2. Ldastudy carried out on the discretization (discretimage.m), to be discrete matrix of disdata, deposited to imagedisdata.mat 3. Disdata the composition of the decision table (savers.m), the conditions on the attributes disdata about Jane, has been one of its reduction to form the new test set and training set rstest for rsstudy keep imagersdata.mat 4. Rsstudy training fuzzy neural network (savecul.m), on the parameters of fuzzy neural network to learn to adjust their deposit culdata.mat 5. Rstest used to test for runfnn.m by its recognition rate cm.m is savem.m and minimum distance classifier on the training set and test set classificati)

VPI与matlab联合仿真，自定义信号产生程序(matlab and VPI)