Normal distribution

牛顿迭代法用于求解非线性方程组，及求解范围(Newton iterative method for solving nonlinear equations, and solve the range)

Implement the K nearest neighbor algorithm by your own instead of using available software. 2. Use K-fold cross validation to generate training and testing datasets. You should try different K values (3~8) to see how they affect your result. 3. Train the classifier using your training dataset, and test the classifier using your testing dataset. 4. Repeat the experiment (Step 2 and Step 3) 30 times. For each time, you need to record the training data accuracy and testing data accuracy. Finally, you can obtain the average training data accuracy and average testing data accuracy.

一、CORBA原理 二、Orbix 2000与ART 三、CORBA标准服务 四、成功案例 五、应用开发讨论(1, CORBA Principle 2, Orbix ART 2000 with three, four CORBA standard services, five successful cases, application development discussion)

实现OMP算法，即压缩感知的还原算法，将M*1的矩阵还原成N*1的稀疏矩阵,M<<N.(Implementing OMP algorithm)

emd进行振动信号处理时，阀值的确定，样本熵的提取，此程序可以实现复杂工频背景下，电压振动信号去噪(The emd vibration signal processing, the determination of the threshold, the extraction of sample entropy, the program can be implemented under the complex background of power frequency, voltage vibration signal denoising)

MATLAB7_0基础教程_清华大学,内容中规中矩，一贯的清华教材作风。(_ Basic tutorial MATLAB7_0 Tsinghua University, the contents of quite satisfactory and consistent teaching style of Tsinghua University.)

摄影测量小程序，实现后方交会功能，包括了普通方法和角锥法两种方式(Photogrammetry small program to achieve resection, including a common approach and angle cone method in two ways)

In this paper, a multimodal image fusion algorithm based on multiresolution transform and particle swarm optimization (PSO) is proposed. Firstly, the source images are decomposed into low-frequency coefficients and high-frequency coefficients by the dual-tree complex wavelet transform (DTCWT). Then, the high-frequency coefficients are fused by the maximum selection fusion rule. The low-frequency coefficients are fused by weighted average method based on regions, and the weights are estimated by the PSO to gain optimal fused images. Finally, the fused image is reconstructed by the inverse DTCWT. The experiments demonstrate that the proposed image fusion method can illustrate better performance than the methods based on the DTCWT, the support value transform (SVT), and the nonsubsampled contourlet transform (NSCT).

利用稀疏贝叶斯实现的图像分类，实现效果很好，matlab代码(Sparse Bayesian image classification implemented to achieve good results, matlab codes)

matlab 到VC++的一些串口及其转换文件的说明，可以实现两者之间的混合编程(matlab to the VC++ serial port and convert some documents that can be achieved between the two hybrid programming)