ELSA_v0.1.tgz

这是一个比较有用的小程序，能对被水印出理过的图象进行检测，效果很明显．(This is a relatively small program useful, can be a watermark image over the rationale for testing, the effect is obvious.)

OFDM在无线局域网中应用,包括编码,信道估计和同步算法(OFDM in Wireless LAN applications, including coding, channel estimation and synchronization algorithms)

正交频分复用源程序，交含逆快速傅立叶变换，ISI，傅立叶变换(main OFDM)

pss model in matlab to achive system paramiter

说明：  区域生长 区域生长的一个关键是选择合适的生长或相似准则， 大部分区域生长准则使用图像的局部性质。(A key growth region growing area is to select the appropriate growth or similar criteria, the local nature of most of the regional growth guidelines for using the image.)

For location of fault in transmission line

基于状态方程的两自由度振动微分方程simulink程序(Simlink Program for Two-Degree-of-Freedom Vibration Differential Equation Based on State Equation)

This a self-contained package including the 2-D DWT and inverse DWT routines. The included matlab routines are used to generate noisy example images and disply the result of denoising.

matlab program for cross correlation

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)