EDGE16QAM

inpainting program progrM FOR MATLAB

高压直流输电系统的仿真，可以升入学习了解直流输电的基本原理和控制方式(HVDC system simulation, you can ascend to learn about the basic principles and HVDC control mode)

创建一个实现FFT算法的DSP工程，并给工程中加入源文件、库文件和链接命令文件观察输入、输出数据的频谱； 改变FFT的点数，观察结果； 通过Profile分析算法的运行时间。 (FFT algorithm to create a realization of the DSP project, and add to the project source files, library files and link observation command file input and output data of the spectrum change FFT points, observation results through the Profile of the run-time analysis algorithms.)

说明：  作为8-9-3的子程序，其中M=8，该程序实现了重叠正交变换。(Subroutine as 8-9-3, where M = 8, the program implements the overlapping orthogonal transformation.)

该源码实现对时间序列进行算法复杂性计算，近似熵计算等功能。(computes the algorithmic complexity on the time series，the approximate entropy that measures the so-called "pattern similarity" in a given time series and so on.)

一种基于小波域灰度图像盲水印的新方法， 方案中利用了人类视觉系统（HVS）特征。(A new approach for non-blind watermarking of still gray level images in the wavelet domain.The method uses the Human Visual System(HVS)characteristic)

通过自己学编制的节约里程法matlab程序，已通过实例验证，可行(Compiled by yourself to learn matlab procedures, save mileage law already through examples and feasible)

this is matlab code for fourier transform and window function comparision

Tactial+and+Strategic+Missile+Guidance一书程序源码（For Mac in Matlab）(Tactial+and+Strategic+Missile+Guidance book program source code (For Mac in Matlab))

说明：  主要是针对matlab编程的14个案例； 案例1：一般区域二重、三重积分； 案例2：被积函数含有积分项的一类积分； 案例3：一般区域n重积分； 案例4：蒙特卡洛法计算n重积分； 案例5：第二类Fredholm积分方程； 案例6：第一类Fredholm积分方程； 案例7：第二类Volterra积分方程； 案例8：第一类Volterra积分方程； 案例9：全局优化； 案例10：fsolve求非线性方程组； 案例11：渐变光波求导； 案例12：遗传算法在复杂系统可靠度和冗余度分配优化； 案例13：遗传算法在车间设备布局优化； 案例14：应用Benders分解算法求解混合0-1规划；(Mainly for 14 cases of MATLAB programming; Case 1: General Regional double and three integral; Case 2: a class of integral functions containing integral terms; Case 3: General Regional N multiple integrals; Case 4: Monte Carlo method to calculate the N multiple integral; Case 5: Fredholm integral equations of the second kind; Case 6: Fredholm integral equations of the first kind; Case 7: Volterra integral equations of the second kind; Case 8: Volterra integral equations of the first kind; Case 9: Global optimization; Case 10:fsolve for nonlinear equations; Case 11: gradual wave derivative; Case 12: genetic algorithm for reliability and redundancy allocation optimization in complex systems; Case 13: genetic algorithm in workshop equipment layout optimization; Case 14: applying Benders decomposition algorithm to solve mixed 0-1 programming;)