Sensor-fault-

验证MATLAB的时域卷积定理的一些程序(Time domain convolution theorem verify MATLAB program)

遗传和粒子群算法的多目标例程，用了几个测试函数，效果还不错(Inheritance and multi-objective particle swarm optimization (pso) routines, used several test functions, the effect is good)

Matlab编写的，利用 SA算法解决VRP问题(Matlab prepared using the SA algorithm to solve the VRP)

说明：  matlab使用guide界面对滤波器设计，可实参数填写来获得低通，带通，高通等滤波器，这里有源代码，及guide界面，适合初学者学习参考。(Guide to filter matlab use interface design, can fill in to get real parameters low pass, band-pass, qualcomm, filter, here are the source code, and guide interface, is suitable for beginners learn reference.)

应用鸟群算法（PSO）优化全局神经网络权值，可以使用(Applications birds (PSO) algorithm to optimize the overall neural network weights, you can use)

说明：  基于模拟退火算法的优化算法，用于搭配其它算法（贪心算法等）迭代使用，用于有现容量的Facility_Customer 最佳分配问题，使用时变量为设备容量，设备成本，用户距离，用户需求。降温指数为0.96，降温次数为200，迭代次数为200。(The optimization algorithm based on the simulated annealing algorithm is used in combination with other algorithms (greedy algorithm, etc.) for iterative use. It is used for the optimal allocation of facility "customer with existing capacity. The variables used are equipment capacity, equipment cost, user distance and user demand. The cooling index is 0.96, the number of cooling is 200, and the number of iterations is 200.)

simulink的例子 包括源 接收器等 很多 很全哦(simulink examples include the source of the receiver is wide Oh, and many other)

Materials Studio培训教程，从基础讲起，是比较全面的学习资料。(Training course, the foundation, it is a relatively comprehensive learning materials.)

这是一个相对完整的OFDM通信系统的仿真设计，包括编码，调制，IFFT，上下变频，高斯信道建模，ABVSwM 信道，PAPR抑制，各种同步，解调和解码等模块，并统括系统性能的仿真验证了系统设计的GHEPmLd系统的可靠性。 (This is a relatively complete simulation design OFDM communication system, comprising Encoding, modulation, IFFT, down conversion, Gaussian channel modeling, ABVSwM code , PAPR suppression, a variety of synchronization, demodulation and decoding module, and omnibus Simulation system performance verification system GHEPmLd design reliability. )

解决关于牧师和野人过河的经典问题，用MATLAB编程.(resolve priests and soldiers in the classic Savage, MATLAB programming.)