gauss

this program gives the idea about how image is represented in different plane in an 8bit mode.

说明：  例题全部代码. 薛定宇, 陈阳泉. 高等应用数学问题的Matlab求解.(All the code examples. Xue Dingyu, Chen Yangquan. MATLAB to solve higher applied mathematical problems.)

Filter Design with Frequency Sampling

颜色共生矩阵的计算，速度很快，好还用，要自己写入输入算法(Color co-occurrence matrix calculation, very fast, good also with)

用matlab编写的对输入的序列进行CRC-16的校验编码。(This Script Calculate crc-16 from a binary line of code creat)

This is a matlab toolbox of hmm

基于红外图像的弱小目标检测与跟踪:计算图像的局域灰度概率矩阵,在图像上标出检测到的奇异点,标出最终检测到的小目标(Weak target detection and tracking based on infrared images: calculate the the local grayscale image probability matrix, detected singular points marked on the image, marked the final detected small goals)

PSO算法.。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。。

它是gernerl型边缘检测和增强电流给定图像。图像这背后的主要概念是在512×1000的OCT图像中填充椒盐噪声尺寸。英寸这个任务我已经将给定的OCT图像（即RGB）转换为gary图像，并完成了所需的修改，如下所示的atlab工具箱中值滤波类似于使用平均滤波器，例如

SVM方法的基本思想是：定义最优线性超平面，并把寻找最优线性超平面的算法归结为求解一个凸规划问题。进而基于Mercer核展开定理，通过非线性映射φ，把样本空间映射到一个高维乃至于无穷维的特征空间（Hilbert空间），使在特征空间中可以应用线性学习机的方法解决样本空间中的高度非线性分类和回归等问题。svm 程序，即支持向量机的代码。(The basic idea of SVM method are: the definition of the optimal linear hyperplane, and the search algorithm for optimal linear hyperplane by solving a convex programming problem. Then based on Mercer nuclear expansion theorem, through a nonlinear mapping φ, the sample space is mapped to a high-dimensional and even infinite dimensional feature space (Hilbert space), so that in the feature space can be applied to solve the linear learning machine method, the sample space The highly nonlinear classification and regression problems. svm procedures that support vector machine code.)