lobpcg

说明：  给大家上传一些matlab的程序，喜欢的来(For everyone to upload some matlab procedures, like to)

matlab编写的图像处理的gui界面，实现图像处理中的一些简单算法(gui interface of image processing written by matlab)

说明：  matlab科学计算的几乎所有数学算法以及仿真。每一个m文件在我学习的时候都验证了其正确性。前面的比较简单，逐步深入。另外对部分算法本人在学习中做了优化，更简洁。(matlab scientific computing almost all mathematical algorithms and simulation. M each file in my learning at all times to verify its correctness. In front of a relatively simple step by step in depth. In addition to some algorithm I have done a study of optimization, a more concise.)

ADC动态性能测试，包括FFT法，正弦拟合法，直方图法，还可以测试通道之间一致性(ADC test of dynamic performance,including FFT method,sine fit method,hist method etc.)

本程序为一模糊 控制的simulink控制模型，设计好条件可以仿真出。(This program is a fuzzy control simulink control model can simulate the design is good condition.)

一个简单的混沌程序，可以看到分叉的现象和振荡的现象。(A simple chaotic process, you can see the phenomenon of bifurcation and oscillation)

lsb算法将水印图像按最不重要位(LSB)方法嵌入到载体图像中，在把水印从载体图像中提取出来(This is a LSB algorithm that embedding watermark into the least important part of the primary image, and the watermark can be extracted from the primary image.)

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matlab里面的基本操作的演示程序(Matlab basic operation inside a demonstration program)

通过此程序仿真数字基带传输系统的基带信号波形。(Simulation of this process through the digital base-band transmission systems, base-band signal waveforms.)