Gray2Rgb

matlab 实现的词汇量统计的云模型工具。统计效果好(matlab vocabulary to achieve statistical cloud model tools. Statistical effect)

system_LPC11xx.c配置的中文注释，对初学者学习pll有帮助。(The system_LPC11xx.c configuration of Chinese notes, for beginners to learn PLL help.)

说明：  对复合奇异的蒙特卡洛模拟程序，亚洲期权、障碍期权的集合体 (Monte Carlo simulation of composite extoic option)

this file about interpolations of data

matlab海龟交易的策略的代码，比较有参考价值(matlab turtul，it s a good code)

这个工具箱是为了方便图像和视频在 matlab 环境中的操作。其目的是为了补充，而不是替换 Matlab 图像处理工具箱，事实上它需要安装 Matlab 图像工具箱。强调对代码效率和代码重用。(This toolbox is meant to facilitate the manipulation of images and video in Matlab. Its purpose is to complement, not replace, Matlab s Image Processing Toolbox, and in fact it requires that the Matlab Image Toolbox be installed. Emphasis has been placed on code efficiency and code reuse.)

How to use the ordinary Voronoi partition generator. The m-files also have their own help documentation that you can view in Matlab. This code creates a bounding polygon that is a square. Then it randomly creates 10 points and then creates and draws the partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(2, 10) regions = voronoi(bounds, points) drawRegions(bounds, regions) ================================ This is a brief set of instructions on how to use the Multiplicatively- weighted Voronoi partition generator. Each of the m-files has a help section, so in Matlab you can call: help mwvoronoi help drawRegions Here is an example that creates a bounding polygon, a square with side length 10. Then it randomly creates six points with random weights. Finally, the code draws the resulting partition. bounds = [0, 10, 10, 0 0, 0, 10, 10] points = 10 * rand(3, 6) regions = mwvoronoi(bounds, points) drawRegions(bounds, regions) Enjoy!

paper on design of OFDM

基于matlab利用一维FDTD方法对电磁波传播及反射透射进行仿真(Based on matlab using one-dimensional FDTD method and the reflection and transmission of electromagnetic wave propagation simulation)

说明：  任意给出两城市，找出两城市间的最短路径。还可以限定载重量，在满足载重量要求条件下，找出最短路径(Arbitrary given the two cities, two cities to find the shortest path. Can also limit the load to meet load requirements, find the shortest path)