calculation_method_Algorithm_Design_and_Implementa

利用Matlab进行柴油机电子调速器，采用模糊控制理论(Using Matlab, electronic engine governor, the fuzzy control theory)

供初学空时编码（vblast接收）的matlab仿真程序(Space-time coding for beginners (vblast receiver) of matlab simulation program)

振动论坛FAQ(2[1])之Matlab 关于matlab使用技巧的文章专辑，常见问题解答，是更好使用Matlab的参考书籍(Vibration Forum FAQ (2[1] version) from Matlab using the techniques of articles on the matlab albums, frequently asked questions, is a better reference books to use Matlab)

可变次数的 曲线拟合 最小二乘算法实现 (Variable number of least squares curve fitting algorithm)

CrossPointNo=53 ％％％输入图中节点的总数目 对已知的边进行赋值，注意：有向图的Cost(i,j)=Cost(j,i)(CrossPointNo = 53%%% imported map nodes to the total number of known side Fu value, attention : to map Cost (i, j) = Cost (j, i))

matlab智能控制工具箱的详细说明，模糊，预测，神经网络等(Matlab- Optimisation Toolbox- User´ s Guide)

matlab code bp neuralnetwork xor

聚类算法，不是分类算法。分类算法是给一个数据，然后判断这个数据属于已分好的类中的具体哪一类。聚类算法是给一大堆原始数据，然后通过算法将其中具有相似特征的数据聚为一类。这里的k-means聚类，是事先给出原始数据所含的类数，然后将含有相似特征的数据聚为一个类中。所有资料中还是Andrew Ng介绍的明白。首先给出原始数据{x1,x2,...,xn}，这些数据没有被标记的。初始化k个随机数据u1,u2,...,uk。这些xn和uk都是向量。根据下面两个公式迭代就能求出最终所有的u,这些u就是最终所有类的中心位置。(Clustering algorithm, not a classification algorithm. Classification algorithm is to give a figure, and then determine the data belonging to a specific class of good which category. Clustering algorithm is to give a lot of raw data, and then through the algorithm which has similar characteristics data together as a class. Here k-means clustering, is given in advance the number of classes contained in the raw data, then the data contain similar characteristics together as a class. All information presented in or Andrew Ng understand. Firstly, raw data {x1, x2, ..., xn}, the data is not labeled. K random initialization data u1, u2, ..., uk. These are the vectors xn and uk. According to the following two formulas can be obtained final iteration all u, u is the ultimate all these classes the center position.)

qpsk调制解调，功率谱密度，误码率曲线，和MPSK的比较(qpsk modem, power spectral density, the error rate curve, and comparison of MPSK)

四旋翼飞行器在MATLAB下的建模程序，非常好，非常真实(Four-rotor aircraft under the MATLAB modeling program, very good, very durable)