SAR_Filter

说明：  应用无迹卡尔曼滤波较好的实现单目标跟踪。(Unscented Kalman filter applied to achieve good single-target tracking.)

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.)

here to import the pictures and how to segment the picture. how to add the noise. some screen shots will be added this file.

Gaussian function Matlab animation

《MATLAB 7.0编程基础基础》源程序 第4章(Chapter 4 of the " MATLAB 7.0 programming foundation foundation source)

mesuremant of the temperature

四元数与线性卡尔曼滤波求解INS/GPS组合导航姿态(Four element and linear Calman filtering for INS/GPS integrated navigation attitude)

提供一个供分析的 信号 手机发送垃圾可发生了飞可是老大解放 (it i s v er y i mp ort a nt m a t l a b s o u r c e)

无噪声时MUSIc算法均匀圆阵程序,阵元间距等于波长(no noise MUSIc algorithm procedures uniform circular array antenna spacing equal to the wavelength)

java调用matlab程序的一个applet。(java call matlab program for a applet.)