freebeam

主成分分析(PCA)是一个数学的过程,它使用一个正交变换转换成一组观测到的可能相关的因素形成一套价值观的独立变量称为主成分。主成分的数量小于或等于原始变量的数目 (Principal component analysis (PCA) is a mathematical procedure that uses an orthogonal transformation to convert a set of observations of possibly correlated variables into a set of values of uncorrelated variables called principal components. The number of principal components is less than or equal to the number of original variables)

简单的实例，介绍了基本的用法，适合有一定基础的学者，可以巩固自己的知识(Simple example, describes the basic usage, there is some basis for scholars, can consolidate their knowledge)

运行于matlab环境的粒子群算法求解问题最优解程序。(failed to translate)

载波频率不同的多个DSB信号混合后，在不知道源信号的情况下，将混合后的DSB信号分离出来(A different carrier frequency signals of multiple DSB after mixing the source signals without knowing the circumstances, would be a mixture of the DSB signal separation)

说明：  先进PID控制及其MATLAB仿真（刘金锟）.rar(Advanced PID Control and MATLAB simulation (Liu Kun). Rar)

这个函数的功能主要是用来求样本点到蕨类中心的距离(find the distencebetween the sample and cluster)

说明：  经典的基本PSO粒子群优化算法的测试函数共享一下(Classic basic PSO Particle Swarm Optimization to share about the test function)

Perceptron with margin (Variable increment) : Linear Discriminants

matlab codes for Implements 1D-3D NUFFTs via Fast Gaussian Gridding

matlab常用算法的实现，还包括PPT讲解，很详细(matlab algorithm used, but also on the PPT, a very detailed)