nakagami

图像处理中的格式转换YUV,用matlab处理，一个本科生的毕业论文相关.(Image processing format conversion YUV, using matlab treatment, a relevant undergraduate thesis.)

纹理合成，利用Matlab开发平台 ，实现小块纹理的快速合成(Texture synthesis)

单径瑞利信道的simulink仿真 给定多普勒频移为120km/h，多普勒谱为经典谱。(the model of Rayleigh channel)

matlab编程中译版，Stephen.J.Chapman著(Matlab programs for engineer written by STEPHEN.J.Chapman)

3个计算信道容量的源码集合，由易到难，适合初学者自学，使用迭代算法(3 Calculation of channel capacity of the source collection of easy to difficult, suitable for beginners self-study, using an iterative algorithm)

说明：  这是MATLAB软件中的产生高斯白噪声的函数，通过参数设置得到你所需要的白噪声，同时可以用于研究随机信号产生的方法。(This is the MATLAB software have a function of Gaussian white noise, through the parameters you need to be white noise, at the same time can be used to study the methods of random signal generator.)

Hyperspectral Image Index Analysis

pid control of puma robot

IEEE802.15.4信道的Matlab仿真。主要描述其在各种信道环境，比如各种噪声和各种干扰存在的情况下，各种性能的仿真。(Matlab simulation of the IEEE802.15.4 channel. Describes the environment in a variety of channels, such as the presence of noise and all kinds of interference, the various properties of the simulation.)

模拟退火算法——组合优化 模拟退火算法主要用于解决组和优化问题，它是模拟物理中晶体物质的退火过程而开发的一种优化算法。在对固体物质进行模拟退火处理时，通常先将它加温熔化，使其中的粒子可自由运动，然后随着温度的逐渐下降，粒子也逐渐形成了低能态的晶格。若在凝结点附近的温度下降速率足够慢，则固体物质一定会形成最低能态的基态。 对于组合优化问题来说，它也有这样的类似过程。组合优化问题解空间中的每一点都代表一个具有不同目标函数值的解。所谓优化，就是在解空间中寻找目标函数最小（大）解的过程。若把目标函数看成能量函数，某一控制参数视为温度 T，解空间当作形态空间，那么寻找基态的过程也就是求目标函数极小值的优化过程。 (Simulated annealing algorithm- combinatorial optimization Simulated annealing algorithm used to solve optimization problems and the group, it is the physical simulation of the crystal material in the annealing process and the development of an optimization algorithm. Solid substances in the simulated annealing process, it is usually heated it first melts, so that the particles are free to exercise, then gradually decreased as the temperature of the particles gradually formed a lower state of the lattice. If the temperature drops near the condensation rate slow enough, the solids will form the lowest energy state of the ground state. For combinatorial optimization problems, it also has such a similar process. Combinatorial optimization problem the solution space of each point represents a different objective function value of the solution. The so-called optimization, is in the solution space to find the minimum objective function (large) solution process. If the objective function a)