capacity-of-ZF-and-MRT

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))

BPSK modulation using matlab

这是2dof（pi-逆前馈加pid反馈），单纯pid反馈，单纯pi模型逆前馈对应的仿真结果。 其中系统模型采用前面根据pi模型与n4sid算法结合得到的综合模型。(This is 2 dof (PI- inverse feedforward pid feedback), pure pid feedback, pure PI inverse model feed-forward corresponding simulation results. In front of the system model using models based on PI and n4sid algorithm combined with integrated model.)

该资料为多目标粒子群求优MATLAB代码。改进的多目标粒子群算法，包括多个测试函数 对程序中的部分参数进行修改将更好地求解某些函数(The data is a multi object particle swarm optimization MATLAB code. The improved multi-objective particle swarm optimization algorithm, including the number of test functions in the program to modify some of the parameters will be better to solve certain functions)

learn about s-function in Matlab

用Jacobi Gauss-seidel SOR迭代法求解线性方程组(With Jacobi Gauss-seidel SOR iterative method for solving linear equations)

压力传感器的温度补偿数据标定，根据标定点的压力和温度值，求得各个系数值(Temperature compensation of the pressure sensor calibration data, according to the pressure and temperature values ​ ​ of the calibration points obtained each coefficient values)

matlab - vectors as arrays

使用时移地震数据反演得到弹性参数相关变化量；(The correlation variation of elastic parameters is obtained by using time-lapse seismic data.)

Modifying 3D beam Code + electrostatic pull-in using the root-locus method in Matlab