functions

用最优化方法求解优化问题的极大值或极小值问题的方法(Maximum or minimum value of the issue of method optimization method for solving optimization problems)

我已经上传了matlab的程序源代码，请求审核

Program in MPI for matrix multiplication

Visual C++_MATLAB图像处理与识别实用案例精选(Visual C++ _MATLAB practical image processing and recognition of selected cases)

abs制动系统仿真研究，对制动基础学习有一定作用(The simulation research of ABS braking system has a certain effect on the brake foundation.)

学会使用MATLAB仿真软件搭建MSK调制解调仿真电路建立MSK调制解调系统仿真模型(Learn how to use MATLAB simulation software to build the MSK modulation and demodulation simulation circuit MSK modulation and demodulation system simulation model)

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))

用于初学者学习径向基函数神经网络，可以了解径向基函数神经网络的预测程序。对径向基函数神经网络有一个大体的了解。(For beginners to learn the radial basis function neural network prediction program can understand radial basis function neural network. Radial basis function neural network has a general understanding.)

mimo的matlab仿真源程序 注释详细、运行无误(matlab code for mimo Include comment Details and running correctly)

傅里叶型计算全息图代码，采用的编码方法是Burch的修正离轴参考光的编码方法(Type Fourier hologram code calculation, the method of coding is Burch modified off-axis reference beam coding method)