yuwuzao

说明：  利用凯泽窗产生FIR滤波器，可以直接使用，不用其它头文件。(err)

基于MATLAB/Simulink的PID控制系统的设计与仿真(Based on MATLAB/Simulink PID control system design and simulation)

Chaos game representation of gene structure

说明：  该算法用于卡尔曼初学者入门使用，该程序给你提供一个良好的使用卡尔曼的方法和步骤，让你轻轻松松成为卡尔曼滤波高手！(The algorithm used for the Kalman beginners started, the program to provide you with a good use of Kalman' s methods and procedures, so that you easily become a Kalman filtering expert!)

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.)

matlab 编写的惯导定位程序，可以直接运行(INS positioning written in matlab program can be run directly)

full wcdma simulation matlab code(full wcdma Matlab simulation code)

some electromagnetics script

采用一种松弛牛顿法，对IEEE33节点系统进行潮流计算，并得出正确结果。(Newton s method uses a relaxation programming for IEEE33 node system and derive the correct results)

聚类算法中的启发式算法中的FEC算法，可以处理复杂网络的问题。(Clustering algorithm heuristics in the FEC algorithm can handle complex network problems.)