一个好使的粒子群与K均值聚类的混合算法MATLAB环境源码

利用HARRIS矩阵实现角点提取，适用于多种图像(HARRIS matrix realization of the use of corner extraction, applied to a variety of image)

支持向量机（SVM）在matlab中实现的源程序，有注释(SVM in matlab)

power_VariableInductor.rar,功率电子领域matlab仿真文件，已经验证过，程序运行正常(power_VariableInductor.rar,Power electronics field matlab simulation file, has already been verified, the normal operating procedures)

去除图像中的栅格噪声，使图像更加清晰，更加美观(Remove the grid in the image noise, make the image more clear, more beautiful )

本代码主要提供了在频域使用fastica进行盲源分离，并且解决了频域的排列和增益两个歧义性问题。(This code mainly provides the use of fastica in the frequency domain for blind source separation, and solves the frequency domain arrangement and gain of two ambiguity problems.)

1.计算待分类数据和不同类中每一个数据的距离（欧氏或马氏）。 2.选出最小的前K数据个距离，这里用到选择排序法。 3.对比这前K个距离，找出K个数据中包含最多的是那个类的数据，即为待分类数据所在的类。 不通俗但严谨的规则是：

用Matlab实现的LDPC编码程序，希望对大家有用(Matlab achieved with LDPC coding procedures, we hope to be useful)

说明：  巧妙的运用matlab控件自编程序！很有意思哦！在信号分析领域用途广泛！(clever use of Matlab self control procedures! Very interesting! In the field of signal analysis of a wide range of uses!)

粒子群算法，也称粒子群优化算法（Particle Swarm Optimization），缩写为 PSO， 是近年来发展起来的一种新的进化算法(Evolutionary Algorithm - EA)。PSO 算法属于进化算法的一种，和模拟退火算法相似，它也是从随机解出发，通过迭代寻找最优解，它也是通过适应度来评价解的品质，但它比遗传算法规则更为简单，它没有遗传算法的“交叉”(Crossover) 和“变异”(Mutation) 操作，它通过追随当前搜索到的最优值来寻找全局最优。这种算法以其实现容易、精度高、收敛快等优点引起了学术界的重视，并且在解决实际问题中展示了其优越性。粒子群算法是一种并行算法。(Particle swarm optimization, also known as particle swarm optimization (Particle Swarm Optimization), abbreviated as PSO, is a new evolutionary algorithm developed in recent years (Evolutionary Algorithm- EA). Kind, and simulated annealing algorithm PSO algorithm is similar evolutionary algorithms, it is also starting a random solution, through an iterative search for the optimal solution, which is also used to uate the quality through fitness solution, but it is simpler than genetic algorithm rules It has no genetic algorithm " crossover" (Crossover) and " variant" (Mutation) operation, which by following the current search to find the optimal value to the global optimum. This algorithm is its easy implementation, high accuracy, fast convergence, etc. attracted academic attention and show its superiority in solving practical problems. PSO algorithm is a parallel algorithm.)

This is for testing a matlab program.