卡尔曼定位GPS

yagi antenna simulation using FDTD code

多相无刷直流电动机的建模与仿真，并配有相应的文章供大家参考(Modeling and Simulation of multi phase brushless DC motor, and with the corresponding articles for your reference)

盲反卷积算法复原图像,很好的一个算法。盲反卷积算法复原图像,很好的一个算法盲反卷积算法复原图像,很好的一个算法盲反卷积算法复原图像,很好的一个算法盲反卷积算法复原图像,很好的一个算法盲反卷积算法复原图像,很好的一个算法盲反卷积算法复原图像,很好的一个算法盲反卷积算法复原图像,很好的一个算法盲反卷积算法复原图像,很好的一个算法盲反卷积算法复原图像,很好的一个算法

这个是隐markov模型中viterbi算法实现的一个具体实例程序 很好-This is a hidden markov models Viterbi Algorithm in a specific example of good procedures

It explain about 3-phase active filter

matlab garch工具包 非常智能(matlab garch kit is very smart)

不考虑不平衡磁拉力（UMP），转子系统在自身的质量、阻尼、弹簧等作用下，轴心轨迹求解方法(unbalanced magnetic pull is not considerated and rotor center orbit is gotten)

主要解决旅行商问题(traveling saleman problem,简称tsp，即已知n个城市之间的相互距离，现有一个推销员必须遍访这n个城市(Mainly to solve the traveling salesman problem (traveling saleman problem, referred tsp of known mutual distances between the n cities, has a salesman must be visited all these n cities)

说明：  猴群算法（MA）是由Zhao和Tang提出的一种新的用于求解大规模、多峰优化问题的智能优化算法.其思想在于通过模拟自然界中猴群爬山过程中爬、望和跳的几个动作，设计了三个搜索过程：爬过程主要用来搜索当前所在位置的局部最优解；望过程主要通过眺望来搜索邻近领域比当前位置更优的解，以便加速最优解的搜寻过程；跳过程的目的在于由当前搜索区域转移到其它区域,以避免搜索过程陷入局部最优(Monkey swarm algorithm (MA) is a new intelligent optimization algorithm proposed by Zhao and Tang for solving large-scale and multi-peak optimization problems. Its idea is to design three search processes by simulating several movements of climbing, looking and jumping of monkeys in nature. The climbing process is mainly used to search the local part of the current location. Optimal solution; Looking process mainly searches for solutions in adjacent areas that are better than the current location by looking over, so as to speed up the search process of the optimal solution; The purpose of jumping process is to shift from the current search area to other areas, so as to avoid the search process falling into local optimum.)

各种matlab命令，包括管理变量和工作空间、管理命令和函数。-Various matlab command, including the management of variables and working space, management, command and function.