基于自抗扰控制的直接转矩控制

【实例简介】

【实例简介】

Matlab code of Bayesian CP Factorization for Tensor Completion(Written by Qibin Zhao 2014)To run the code:1. Change Matlab work directory to "/BCPF_Toolbox_QZhao/".2. Run  "loadpah" code to add the current folder and subfolders into Matlab path searching list.3. Open and run the demo files. We provide two demo codes:I.  DemoBayesCP.m:        Demonstration on synthesic dataII. DemoBayesCP_Image.m   Demonstration for image completionThe package includes four algorithms:1. BCPF.m           BCPF for fully observed tensor2. BCPF_TC.m        BCPF for incomplete tensor 3. BCPF_IC.m        BCPF for image completion4. BCPF_MP.m        BCPF using mixture priors for image completionIn this package, we used the tensor toolbox 2.5, which is downloaded from (http://www.sandia.gov/~tgkolda/TensorToolbox)The tools for visualization of tensor with voxels is from Tensorlab (http://www.tensorlab.net/)

qam信号cma盲均衡(CMA_MMA_16QAM.asv)

三电平SVPWM仿真

【实例简介】永磁同步电机的PI电流控制

复合材料刚度计算

【实例简介】

【实例简介】机器学习中的多示例包层次SVM分类算法 【核心代码】Bag_KI_SVM.m KI-SVM ├── Bag KI-SVM │   ├── Bag_KISVM_prediction.m │   ├── Bag_KI_SVM.m │   ├── Find_y.m │   ├── Find_y_linear.m │   ├── Max_Violated_y_set.m │   ├── Readme.htm │   ├── celltomatrix.m │   ├── genIndex.m │   └── normalization_gaussian.m ├── Instance KI-SVM │   ├── Find_y.m │   ├── Find_y_linear.m │   ├── Inst_KISVM_prediction.m │   ├── Inst_KI_SVM.m │   ├── Max_Violated_y_set.m │   ├── Readme.htm │   ├── celltomatrix.m │   ├── genIndex.m │   └── normalization_gaussian.m ├── experiments.m ├── experiments_KISVM_musk1.m ├── libsvm-mat-2.88-MI-svm │   ├── COPYRIGHT │   ├── Makefile │   ├── README │   ├── doc.txt │   ├── heart_scale.mat │   ├── make.asv │   ├── make.m │   ├── read_sparse.c │   ├── read_sparse.mexw32 │   ├── read_sparse.mexw64 │   ├── svm.cpp │   ├── svm.cpp.bak │   ├── svm.h │   ├── svm.h.bak │   ├── svm.obj │   ├── svm_model_matlab.c │   ├── svm_model_matlab.c.bak │   ├── svm_model_matlab.h │   ├── svm_model_matlab.obj │   ├── svmpredict.c │   ├── svmpredict.mexw32 │   ├── svmpredict.mexw64 │   ├── svmtrain.c │   ├── svmtrain.c.bak │   ├── svmtrain.mexw32 │   └── svmtrain.mexw64 └── normedmusk1.mat 3 directories, 47 files

一种拉普拉斯算子实现数字图像边缘检测