simplecharrec(I&II)

MATLAB软件系统控制彷真方法祥解.rar 对于实现算法设计的初学者来说是很好的老师哦：）(MATLAB software system control simulation method祥解. Rar for the realization of algorithm design is a good beginner s teacher oh:))

SCE algoritm in matlab

MATLAb code for Basic Model of Cognitive Radio

关于HARQ的组合译码的MATLAB仿真程序(About HARQ MATLAB simulated program)

系统辨识的一个matlab仿真实验室报告，有一定的学习价值和授课价值(System identification matlab simulation laboratory report, the value of learning and teaching value)

ch9例题04_龙格库塔电子运动轨迹 matlab 程序(ch9 Examples 04_ Runge- Kutta electronic trajectory Matlab procedures)

关于GPS/INS组合导航的matlab仿真程序 大家共同学习下(On GPS/INS Integrated Navigation System of the matlab simulation program to study under the common)

实现聚类K均值算法： K均值算法：给定类的个数K，将n个对象分到K个类中去，使得类内对象之间的相似性最大，而类之间的相似性最小。 缺点：产生类的大小相差不会很大，对于脏数据很敏感。 改进的算法：k—medoids 方法。这儿选取一个对象叫做mediod来代替上面的中心 的作用，这样的一个medoid就标识了这个类。步骤： 1，任意选取K个对象作为medoids（O1,O2,…Oi…Ok）。 以下是循环的： 2，将余下的对象分到各个类中去（根据与medoid最相近的原则）； 3，对于每个类（Oi）中，顺序选取一个Or，计算用Or代替Oi后的消耗—E（Or）。选择E最小的那个Or来代替Oi。这样K个medoids就改变了，下面就再转到2。 4，这样循环直到K个medoids固定下来。 这种算法对于脏数据和异常数据不敏感，但计算量显然要比K均值要大，一般只适合小数据量。(achieving K-mean clustering algorithms : K-means algorithm : given the number of Class K, n will be assigned to target K to 000 category, making target category of the similarity between the largest category of the similarity between the smallest. Disadvantages : class size have no great difference for dirty data is very sensitive. Improved algorithms : k-medoids methods. Here a selection of objects called mediod to replace the center of the above, the logo on a medoid this category. Steps : 1, arbitrary selection of objects as K medoids (O1, O2, Ok ... ... Oi). Following is a cycle : 2, the remaining targets assigned to each category (in accordance with the closest medoid principle); 3, for each category (Oi), the order of selection of a Or, calculated Oi Or replace the consumption-E (Or))

这个Matlab程序包，展示了Monte Carlo方法的基本原理，并把它应用到金融行业，展示一种方差缩减的技巧。(The Matlab package, shows the basic principle of Monte Carlo method, and apply it to the financial industry, demonstrate a variance reduction technique.)

英文资料。基于位置的机器人视觉伺服综述。可参考。/ (English. Based on the location of Servo Robot Vision Summary. Reference. /)