20067511485943385

matlab程序，椭圆形滤波器设计，可用于对心电信号的基线漂移去除(matlab program, elliptic filter design that can be used for ECG baseline drift removal)

the third generation PP

能提取matlab的figure文件的x,y轴数据 非常好用！ 网上收集的！(Matlab to extract the figure documents x, y-axis data is very easy to use! Online collection!)

0-1整数规划有很广泛的应用背景，比如指派问题，背包问题等等，实际上TSP问题也是一个0-1问题，当然这些问题都是NP问题，对于规模较大的问题用穷举法是没有办法在可接受的时间内求得最优解的，本程序只不过是一个练习，得意之处是用递归法把所有解都排列出来。另：胡运权所著的《运筹学基础及应用（第三版）》第97页的例3，我用本程序求解得到的结果是：最优解是x*=(1,0, 0, 0, 0)，最优值是f(x*)=8，但书求得最优解是x*=(1,0, 1, 0, 0)，最优值是f(x*)=4，是不是书中写错了，请大家验证。以下是源程序，大家可以任意使用无版权问题，另外，如果大家有大规模的0-1规划的问题也希望提供给我，谢谢。变量个数至少是3个(0-1 Integer Programming is a very broad background, such as assignment, bags and so on. actually TSP is a 0-1, of course, these problems are NP, for larger problem with the law is not exhaustive approach in an acceptable time frame to obtain the optimal solution. this procedure is only one practice, farewell tour is the method used recursive all of the solutions to show. Another : Hu Yun-author of "operational research, and application base (third edition)" Article 97 of the three cases, I use this procedure to solve the result is : is the optimal solution x = (1,0, 0, 0, 0), the optimal values of f (x*) = 8, but the book is to find the optimum solution x = (1,0, 1, 0, 0), the optimal values of f (x*) = 4, the book is not a mistake, please certification. Following is the source)

两个最近通信常用的数字调制技术的仿真,mpsk(two recent communication commonly used digital modulation technology simulation, mpsk)

这是一个matlab程序，用于粒子群算法的(This is a matlab program for particle swarm optimization)

自己的最近一直在用的程序 自己的最近一直在用的程序(Their most recent procedure has been used in their most recent procedure has been used)

混沌动力学的平面模型，和对动力学的模型研究以其用户的输入(chaoic reserch ，the model ,and teh input model .)

Switched Reluctance Motor Simulation Program Matlab_Simulink Simulation of Speed Control System

包括优化算法源程序及算法原理介绍。自适应协方差矩阵进化策略，一种2000年左右发展起来的新优化算法，简称CMA-ES，最近十几年得到了学术界的广泛关注，非常有应用前景。这是一种黑箱子优化算法，可以再程序末自己定义优化函数，也可以调用外部程序（如有限元等）进行计算，然后提取优化函数的解。该优化算法在各种变量维度下的表现优于蚁群算法、粒子群算法，有较好的收敛性，这归功于其严谨的数学表达。(Covariance matrix adaptation evolution strategy, about one kind of new optimization algorithms developed in 2000, referred to as CMA-ES, the last ten years has been widespread concern in academic circles, very prospect. This is a black box optimization algorithm, you can then define their own optimization program at the end of the function, you can also call an external program (such as finite element, etc.) are calculated, and then extract the optimal solution function. The optimization algorithm in a variety of variable dimensions outperformed ant colony algorithm, particle swarm optimization, better convergence, thanks to its rigorous mathematical expression.)