mapping

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Adaptive Filter_Simon Haykin_Matlab_code VBLAST

粒子群算法OptSwarm记录每个粒子的历史最优解（粒子历史最好的适应度）以及全部粒子搜索到的全局最优解。用Wg代表全局最优解，W.,1代表每个粒子的历史最优解。粒子群初始化阶段表OptSwarm的前N行与表ParSwarm中的相同，而Wg的值为表ParSwarm中适应度值的最大值对应的行。(Particle swarm algorithm OptSwarm record the history of each particle the optimal solution (particles history best fitness), and all the particles of the search to the global optimal solution. Use Wg represents the global optimal solution, w., 1 representative of each particle history to the solution. Particle swarm initial stage OptSwarm table before the line and the table ParSwarm N is same, and the value of the ParSwarm Wg for tables in the maximum fitness value corresponding line. )

运用了matlab编程，对数字基带传输进行仿真(Use of matlab programming, the digital base-band transmission simulation)

How to works GPU and how to instal CUDA

Function to perform Principle Component Analysis over a set of training vectors passed as a concatenated matrix. Usage:- [V,D,M] = pca(X,n) [V,D] = pca(X,aM,n) where:- <input> X = concatenated set of column vectors aM = assume that the mean is aM n = number of principal components to extract (optional) <output> V = ensemble of column eigen-vectors D = vector of eigen-values M = mean of X (optional)

consider the power and spectrum

说明：  e7力线通信中的部分关键技术研究，拿来分享下 (e7 power line communications in some of the key technical studies, brought to share the next)

可以把一段脑电信号分解成多个频段，然后各频段重构就可以提取脑电信号的各频段成份了(Period of EEG can be broken down into multiple bands, each band then refactoring can extract EEG bands ingredients)

algorithme FCM code matlab type .m