cmc

Simple two path Rayleigh fading channel

基于pq谐波电流检测的三相三线制有源滤波器模型。(Pq harmonic current detection based on three-phase three-wire active filter model.)

说明：  长春应用化学研究所，嵌段共聚物，高分子，物理学(Changchun Institute of Applied Chemistry，Block copolymers，Macromolecule，physics)

熟悉非高斯色噪声的产生过程，并对其进行参数估计。 产生一高斯噪声，让其通过一线性系统，再得到符合需要的对数正态分布。 (Familiar with the process of non-Gaussian colored noise generated, and estimated its parameters. Generate a Gaussian noise, so that the linear system to meet the needs of the lognormal distribution.)

红外图像和可见光图像的融合之MATLAB程序(Infrared image and visible image fusion)

matlab robotics 工具箱 机器人运动学计算资料(matlab robotics toolbox ：robot kinematics calculations)

This is 1D, 2D, 3D earth quake ray tomography forward and inverse procedures

产生白噪声的方法，调试通过，数据和代码都齐全。(to create gausse white noise)

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;)

simulink的入门教程，老师上课讲的课件，较易懂，适用于初学者(simulink introductory tutorial, the teacher talked about class courseware, more easy to understand for beginners)