beamforing

Mean Shift 这个概念最早是由Fukunaga等人[1]于1975年在一篇关于概率密度梯度函数的估计中提出来的,其最初含义正如其名,就是偏移的均值向量,在这里Mean Shift是一个名词,它指代的是一个向量,但随着Mean Shift理论的发展,Mean Shift的含义也发生了变化,如果我们说Mean Shift算法,一般是指一个迭代的步骤,即先算出当前点的偏移均值,移动该点到其偏移均值,然后以此为新的起始点,继续移动,直到满足一定的条件结束. 用matlab实现mean shift算法仿真(Mean Shift the concept was first used by Fukunaga et al [1] in 1975 in an article on the probability density function estimation of gradient raised its original meaning, as its name implies, is the offset of the mean vector, where is the Mean Shift a noun, it refers to a vector, but with the Mean Shift the development of the theory, Mean Shift the meaning has changed, if we say that Mean Shift algorithm, generally refers to an iterative steps, namely, first calculate the current point Mean offset, move the shift points to its average, and then as a new starting point and continue to move until the end to meet certain conditions. realize using mean shift algorithm matlab simulation)

说明：  自己编的 利用隐式马尔科夫过程进行目标状态估计(Using implicit markov process to estimate target state )

MATLAB7.x数字信号处理 光盘内容(Digital Signal Processing MATLAB7.x CD-ROM content)

运动人体行为分析的资料，利用因马尔科夫模型和支持向量基做的(Human Movement behavior analysis data by using support vector-based model and HMM)

说明：  粒子群优化算法是一种进化优化技术，源于对鸟群扑食的行为，是一种基于迭代的优化工具。此文件提供了基本粒子群算法、带压缩因子的粒子群算法、二阶粒子群算法、二阶振荡粒子群算法、权重改进的粒子群算法、混沌粒子群算法、基于杂交的粒子群算法、基于模拟退火的粒子群算法的MATLAB源代码。(PSO is an evolutionary optimization technique, derived from the behavior of the birds of prey, is based on iterative optimization tools. This document provides basic particle swarm algorithm, with a compression factor of the particle swarm algorithm, particle swarm optimization order, second order oscillating particle swarm algorithm, the weight particle swarm algorithm, chaotic particle swarm algorithm, based on hybrid particle swarm algorithm, based on Simulated annealing particle swarm optimization MATLAB source code.)

最炫民族风（凤凰传奇）旋律的MATLAB程序形式(MATLAB program in the form of the melody of the coolest Ethnic (Phoenix legend))

用程序写的按钮之类的，我也没搞懂，不是直接添加GUI按钮(oh,it is a )

说明：  提供了三个经典遗传算法的案例，内有源代码。欢迎大家交流，共同进步。(Three cases of classical genetic algorithm are provided with code. Welcome to communicate and make progress together.)

用遗传算法求解自变量是多维的函数的最优值(Genetic Algorithm for the optimal value of Multi-dimensional function)

针对一维,二维函数个g(x)，设计一个模糊系统f(x)，使之一致的逼近定义在某区间上的连续函数并且满足所需精度(For one-dimensional, two-dimensional function of g (x), to design a fuzzy system f (x), consistent approach to the definition of a continuous function on the range and accuracy to meet the requirements)