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傅里叶变换在matlab中的实现过程，简洁代码。。(Fourier transform of the realization in matlab)

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))

一个小小的knn-demo，先用knn 做分类器进行分类，再去验证正确率(A small knn-demo, first with knn Do classifier, go to verify that the correct rate)

simulink8自由度汽车模型 已经做好可调式(simulink8 DOF vehicle model ready Adjustable)

matlab编写的地震处理系统，用于实现地震处理后续的处理，方便在matlab上进行处理。(Seismic processing system written by MATLAB)

It can be used for hand gesture recognition

适合MATLAB初学者进行GUI学习，包括了李显洪《Matlab7.x界面设计与编译技巧》,精通GUI图形界面编程(MATLAB),MATLAB_GUI设计学习手记,GUI制作1,2(MATLAB GUI for beginners to learn, including Li Xianhong " Matlab7.x interface design and build skills," proficient in GUI graphical interface programming (MATLAB), MATLAB_GUI design learning Notes, GUI making 1,2)

用c++实现的对游程编码的译码以及编码操作。对信息论一块的游程编码的理解具有一定参考价值。(C++ with the realization of run length coding decoding and encoding operation. For information on the run length encoding a piece of understanding has a certain reference value.)

卡尔曼滤波，卡尔曼滤波，卡尔曼滤波，卡尔曼滤波，卡尔曼滤波，(Kalman filtering, Kalman filtering, Kalman filtering, Kalman filtering, Kalman filtering,)

Small tutorial of psim