Excercise

The basic face recognition gives as results the ID of nearest person present in database

一个关于压缩感知的论文，是用子空间迭代法求出最后的稀疏解(a method for compressed sensing)

SRAD filetr for speckle reduction .This filter is a variant of anisotropic diffusion which successfully removes speckle type noise from images.

适合有一定基础的学生学习，简单的小例子，关于电机的使用方法的介绍(There is some basis for students to learn, simple little example, with regard to the introduction of the use of motor)

说明：  基于MATLAB的抑制载波双边带调频仿真(MATLAB-based carrier suppression double sideband modulation simulation)

SEP protocol in matlab for wireless sensor networks

摄像机的标定、角点的提取、三维空间的重建、最后生成矫正后无畸变的图形(Camera Calibration，This section takes you through a complete calibration example based on a total of 20 (and 25) images of a planar checkerboard. This example lets you learn how to use all the features of the toolbox: loading calibration images, extracting image corners, running the main calibration engine, displaying the results, controlling accuracies, adding and suppressing images, undistorting images, exporting calibration data to different formats... This example is highly recommended for someone who is just starting using the toolbox. )

图像置乱加密。 主要思想：从两幅图像中选取信息，然后置乱成一幅图像。(Image scrambling encryption. The main idea: to select information from two images, and then scrambling into an image.)

cuckoo optimization for bench mark problems

he power method will be applied to the jacobian matrix of the 2-D henon map to approximate the first Lyapunov exponent by creating a graph of ln|yn| vs. n, where n is the number of iterations of the power method and yn = 1/n*ln|DG^n(xo)*yo|. The slope will be an approximation to the largest Lyapunov exponent.(he power method will be applied to the jacob ian matrix of the 2-D map to approximate henon th e first Lyapunov exponent by creating a graph of ln | yn | vs. n, where n is the number of iterations of the power m ethod and yn = a/n* ln | DG ^ n (xo)* yo |. The slope w ill be an approximation to the largest Lyapunov exponent.)