matlab-image-shifting-and-rotate

边界延拓镜像法和边界延拓自适应波形匹配法(Boundary extension by mirror and adaptive wave matching)

说明：  ： 分析当前国土资源信息系统的现实需要和发展趋势， 说明了建立新型国土资源信息系统的必要性； 重点研究了当 前国土资源信息系统建设的关键技术。这些关键技术对提高国土资源管理的效率以及现代化水平起到了巨大作用， 取得 了良好的经济效益和社会效益。(: Analysis of the current reality of land resources information system needs and trends, describes the establishment of a new need for land resource information system focuses on the current land resources information system key technology. These key technologies to improve the efficiency of land resource management, and played a huge role in the level of modernization achieved good economic and social benefits.)

使用matlab画的半对数坐标纸（两种图纸）(Use matlab painting semi-logarithmic coordinate paper (two drawings))

用matlab制作的小球的平抛运动动画，实现竖直方向速度表示(Ball produced using matlab the flat projectile motion animation, the vertical direction, speed)

关于混合储能的充放电过程的simulink仿真，能实现稳定输出电压的方法(About charging and discharging process of mixing the energy storage simulink simulation, to achieve a stable output voltage method)

fuzzy clustering and data analysis toolbox

robus adaptive control system simulator in Matlap Simulink

说明：  应用了一种简单但有效的图像先验规律即暗原色先验规律，来为单幅图像去雾。(Application of a simple but effective rules that dark color image prior law prior to the single image to the fog.)

声子晶体线缺陷的程序，自己编写的很好用，给需要做声子晶体方面的同行参考(Phononic crystal line defect in the program, write your own good, need to make a sound sub-crystal counterparts reference)

去噪处理是图像处理中较为重要的环节。中值滤波是抑制图像的噪声的一个行之有效的办法，选择适当大小的中值滤波窗口可以在最大限度的保持图像精度的基础上去除图像噪声。本文在对中值滤波去噪算法的适用性特点进行研究的基础上，进一步研究了中值滤波去噪算法，同时对其他去噪算法，如均值滤波、低通滤波的小波变换进行分析研究，并做了相应的比较。(Noise reduction is one of the most important parts of image processing. Median filtering is a proven way to remove image noise. To select the appropriate size of the window can maximize to remove image noise on the basis of maintaining the accuracy of the image. On the basis of investigating the application of the median filtering algorithm denoising characteristics, we do further study of the median filtering algorithm denoising. At the mean time we analyzed the mean filtering and wavelet transform algorithm, and compared them.)