ex10

Exponential negative repartition

ICS课程archlab Partb 作业提交包（纯手工制作）(ICS courses archlab Partb job submission package (handmade))

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.)

frequency hopping spread spectrum model

点目标得SAR BP算法成像，具体说明见程序~(Point target is imaged by SAR BP algorithm. See the program for details.)

Matlab编程入门。数学建模的上手入门讲义，来自于南京大学(Introduction to Matlab programming. Introduction to Math Modeling Lecture handcuffed, from the Nanjing University)

自己编写的2维动态模型，运用卡尔曼滤波仿真。(I have written two-dimensional dynamic model, the use of Kalman filter simulation.)

Automated registration dft

matlab说明文档，精通matlab—综合辅导与指南(matlab documentation, proficient in matlab-Comprehensive Counseling and guidance)

用MATLAB进行线性调频信号及脉冲压缩仿真(Using MATLAB for linear FM signals and pulse compression simulation)