MATLAB_programming_classic_drawing_tutorial

As a consequence, more exact models of devices can be retained for analysis rather than the approximate models commonly introduced for the sake of computational simplicity. A computer icon appears in the margin with each introduction of MATLAB analysis.

基于Graphcut的分割程序，使用matlab封装，并使用了测地线距离，程序界面有好，有助于二次开发(segmentation based on Graph cuts and using geodiesic distance,the UI is friendly,and one can add own code on it)

说明：  用于目标追踪的MATLAB实用程序，基于KALMAN方法实现(MATLAB for target tracking utility method implementation based on KALMAN)

此程序适用于matlab环境下对图像进行匹配 就是用一副模板图像去和现有图像进行匹配从而实现图像的识别 (this is a duocument about BlockMatchingAlgoMPEG)

本算法是乘子法MATLAB的通用程序，只要输入相应的参数即可运行(This algorithm is a the multiplier method MATLAB common procedures as long as the input parameters to run)

小波支撑向量机预测方法研究，可以参考，是文档形式，欢迎下载。(Correction of wavelet support vector machine sensors, can refer to, is a document form, please download.)

it is very useful paper for multilevel converter

科学计算与MATLAB语言科学计算与MATLAB语言(Scientific Computing with MATLAB and the MATLAB language of scientific computing language)

基于matlab，根据边界方程自动划分网格生成网格编号以及每个单元的节点号。可以设置网格的长宽(Based on matlab, according to the boundary equation automatic mesh generation meshing number and node number for each unit. You can set the length and width of the grid)

说明：  基于压缩感知思想的图像分块压缩与重构方法 考虑到大多数图像信号信息分布有差异, 编码端, 在对图像分块的基础上, 融合熵估计 和边缘检测方法计算各图像块的信息含量, 再从两个不同的角度进行分类采样: 依据信息量多少将图像块分为平滑、过渡和纹理3 类, 使用不同的采样率采样 依据信息量的分布特征, 采用不同的采样率分配策略进行采样. 在解码端, 根据不同类型的图像块构造不同的线性算子进行重构, 再运用改 进的迭代阈值算法去除块效应和噪声. 实验证明, 算法在提升图像重构质量的同时缩短了重构时间,并且对纹理边缘多的图像的重构效果较其他方法理想.(Considering that most information of the image signal difference distribution, the encoding side, in the right image sub-blocks based on the integration entropy estimation And edge detection method for calculating the information content of each image block, and two different angles classification sampling: The number of image blocks based on the amount of information into a smooth, transition and texture three classes, using different sampling rates based on the amount of information distribution characteristics, using different sampling sampling rate allocation strategy. in the decoding side, depending on the type of image blocks to construct different linear operator reconstructed, re-use change Iterative thresholding algorithm into blockiness and noise removal experiments show image reconstruction algorithm to enhance the quality while reducing reconfiguration time, and much of the texture edge image reconstruction results are satisfactory compared to other methods.)