proj06-02

MATLAB命令行下mcc命令示范3(MATLAB command line mcc orders Model 3)

经验模式分解例程.开源,C和matlab混合编程(Empirical mode decomposition routines. Open source, C and matlab mixed programming)

Implement and investigate into stochastic Galerkin methods with a special focus on tensor product methods.

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。 (matlab genetic algorithm GA, particle swarm optimization PSO, some time ago on the ant colony algorithm intelligent calculation AS experimental course, make their own programs. Posts here, I hope someone can improve their exchange of experience is more valuable. Genetic algorithm to solve minimum spanning tree problem, PURFER code. Particle Swarm do unconstrained optimization problems. Ant colony algorithm to solve TSP problem.)

说明：  针对物流配送中心选址问题，以物流成本为目标函数，采用免疫优化算法对配送中心进行选址。通过全国31城市的物流需求点实例进行论证，仿真结果表明，该方法能够快速有效地求得物流配送中心选址问题的全局最优解(Aiming at the location problem of logistics distribution center, taking logistics cost as the objective function, the immune optimization algorithm is used to locate the distribution center. The simulation results show that the method can quickly and effectively get the global optimal solution of the logistics distribution center location problem)

说明：  GAN protocol raylieh channel

针对一个混和正弦波信号，设计FIR滤波器，给出了三种设计方法：凯塞窗函数设计带通滤波器法、FDATool设计法实现凯塞窗函数滤波器的低通、带通和高通三种滤波效果以及椭圆低通滤波器的设计法。利用matlab软件实现。(Sine wave for a mixed signal design FIR filter, gives the three design methods: Kaiser window function design band-pass filter method, the FDATool Design Kaiser window function low-pass filter, band-pass and high passthree filter effects, and elliptic low-pass filter design method. Using matlab software.)

这是MATLAB的经典课件，每个PPT都详细的讲解了MATLAB的各方面内容，是优秀的入门教材(This is a classic courseware MATLAB, each PPT are detailed explanations of the various aspects of the MATLAB is an excellent introductory textbook)

fading channel model

捷联惯导的解算程序，大家一起学习交流，有疑问的可以联系我。(The calculating program of sins, we learn together.)