audioeffects

可以供在SVM门口的初学者早日入门，这些都是最基本的SVM程序，但是也比较专业，希望有需要的人使用(SVM can be at the door for an early entry for beginners, these are the most basic SVM procedure, but more professional, I hope the person has required the use of)

basic parallel inverter

说明：  MATLAB实现的图像缩小程序，已通过调试(err)

数字锁相环matlab编程代码，适用于初学者进行参考，欢迎大家下载！(Digital phase-locked loop matlab programming code, suitable for beginners reference, welcome to download)

matlab 遗传算法GA，粒子群算法PSO,蚁群算法AS 前段时间上智能计算方法实验课上，自己做的程序。帖到这里，希望有人能改进它们，交流经验这样更有价值。 遗传算法解决最小生成树问题，PURFER编码。 粒子群算法做无约束最优化问题。 蚁群算法解决TSP问题。 如果有宝贵经验希望能交流一下，谢谢，呵呵(matlab genetic algorithm GA, particle swarm optimization PSO, ant colony algorithm for calculation of AS some time ago on the intelligent test classes, make their own procedures. Quote here, hope someone can improve them, and exchange of experience which is more valuable. Genetic algorithm to solve the minimum spanning tree problem, PURFER coding. Particle swarm optimization to do unconstrained optimization problem. Ant colony algorithm to solve the TSP problem. If there is hope to exchange our experience, thank you, He He)

realisation of time analysis using second order

DVB-T 2k模式定时估计Matlab仿真。重新修改了程序。包括DVB-T信号产生，瑞利多径信道衰减，高斯噪声加入。 定时估计的粗定时用极大似然法，细定时用分散导频。首先确定导频模式，再通过相邻导频相关确定定时偏差。此方法适用于瑞利多径信道，高斯信道，也适用于莱斯多径信道。 信道估计利用DVB-T导频，LS估计，导频位置的时间插值，非导频位置频率插值，非常有效。 该程序经过多次运行无误，不足之处在于变量使用不规范，注释简单，读程序很费劲哈。 其特点是均采用经典算法，简单有效为主，对初学者很有帮助滴。(DVB-T 2k signal, timing estimation, channel estimation)

说明：  33节点符合分布式电源电力系统配电网的潮流计算(Matlab language, power flow calculation of power system distribution network)

实现BP神经网络的matlab运算，运算效率高，方便，快捷(BP neural network matlab realize operation, high operational efficiency, convenient and fast)

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;)