c3

很简单的入门资料，初学者必须学会的算法,希望好好看看(differental models)

三阶倒立板系统在模型的不确定性时的奇异值曲线(Singular value curve of the third order inverted plate system when the uncertainty of the model)

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.)

这是用C语言编写的机动目标跟踪程序，用matlab仿真实现的。直接用于机动目标跟踪仿真。(This is written with C language target tracking procedures implemented with the matlab simulation. Directly used for maneuvering target tracking simulation.)

通过multi-taper方法进行功率谱的计算，采用自适应加权(Computes the power spectrum using the multi-taper method with adaptive weighting.)

用BP网络逼近某曲线函数，在神经网络中邮广泛的应用 是系统辨识的基础。 通过反馈来不断的调整系数，限制了最大循环次数 防止进入死循环，当然如果想要得到更精确的系数可以增大循环次数。 (Using BP network function approximation to a curve, mail is widely used in neural network is the basis of system identification. Through feedback to constantly adjusted factor, limit the maximum cycle times to prevent into dead circulation, and of course if you want to get a more accurate coefficients can increase the cycles.)

说明：  matlab图像处理的课件，，希望能有用。呵呵呵呵呵(matlab image processing of the courseware, and hope to be useful. Ha ha Ha ha ha)

模糊PID控制matlab M文件代码。改代码里面包括了模糊控制的所有环节。仿真时会出现很多模糊控制图的。(Fuzzy PID control matlab M file code. Change code which includes all aspects of fuzzy control. There will be a lot of fuzzy control diagram simulation.)

这是关于可变分数延时滤波器的设计，适合初学者使用，相信对初学者有很大帮助(This is the variable fractional delay filter design, suitable for beginners to use, I believe there is a great help for beginners)

卡尔曼滤波matlab实例，通过matlab程序，实现卡尔曼滤波算法。(Kalman filter matlab example,Through matlab program to achieve Kalman filter algorithm.)