svm-Concept-and-matlab-build

图像压缩的MATLAB算法之JEPG(完整的例程)(MATLAB JEPG)

controller with disrejection plus kalman(controller with disrejection plus Tracking)

PCA人脸识别算法，识别率达到99 ，采用小波变换的方法及主成分分析法。(PCA face recognition algorithm, the recognition rate up to 99 , using wavelet transform methods and principal component analysis.)

随机扰动蚁群多用户检测算法在CDMA系统中的实现(Randomly ant colony algorithm for multi-user detection in CDMA systems to achieve)

最短路径的MATLAB语言算法，最经典的算法，图形显示结果(The MATLAB language of the shortest path algorithm, the classic algorithm，Graphical display results )

matlab实现彩色图像的余弦压缩变换，分阈值不同显示(matlab color image compression cosine transform, threshold different display)

说明：  一个使用空间时频分布进行盲信号分离的Matlab程序，可以实现高信噪比下的随机信号分离(the use of space at a frequency distribution for the Blind Signal Separation Matlab procedures can achieve a high SNR of random signal separation)

该文档是matlab工具箱的安装使用手册： PSOt为PSO的工具箱，该工具箱将PSO算法的核心部分封装起来，提供给用户的为算法的可调参数，用户只需要定义好自己需要优化的函数(计算最小值或者最大值)，并设置好函数自变量的取值范围、每步迭代允许的最大变化量(称为最大速度，Max_V)等，即可自行优化。(The document is the installation of matlab toolbox manual: PSOt toolbox for the PSO, the PSO algorithm toolbox to the core package and up to the user adjustable parameters for the algorithm, users only need to define their own needs better optimization function (calculated minimum or maximum), and set a good range of functions from the variables, each iteration the maximum allowable variation (known as maximum speed, Max_V), etc., can be self-optimization.)

plot googlemap in matlab

用Canny算子检测图像的边缘 P0404：图像的阈值分割 P0405：用水线阈值法分割图像 P0406：对矩阵进行四叉树分解 P0407：将图像分为文字和非文字的两个类别 P0408：形态学梯度检测二值图像的边缘 P0409：形态学实例——从PCB图像中删除所有电流线，仅保留芯片对象(with Canny operator to detect the edges in the image P0404 : image thresholding segmentation P0405 : water line threshold method image segmentation P0406 : matrix Quadtree P0407 : images into text and non-text of the two categories P0408 : morphological gradient detection Binary Image Edge P0409 : morphology example-- Images from the PCB to delete all current lines, retaining only chip targets)