emd

fit_mix_2D_gaussian - fit parameters for a 2D mixed-gaussian distribution using EM algorithm format: [u,covar,t,iter] = fit_mix_2D_gaussian( X,M ) input: X - input samples, Nx2 vector M - number of gaussians which are assumed to compose the distribution output: u - fitted mean for each gaussian (each mean is a 2x1 vector) covar - fitted covariance for each gaussian. this is a 2x2xM matrix. t - probability of each gaussian in the complete distribution iter - number of iterations done by the function

说明：  基于RSSI的论文,讲解其发展现状和应用场合。主要为说明形式(Paper based on RSSI)

Parameterized modules in Erlang

人脸识别源码matlab，十分有效，精度达到90 (Face recognition matlab source)

face to face through face-side down until the back face, the only

0.618法是根据黄金分割原理设计的,所以又称之为黄金分割法。 　　优选法是一种求最优化问题的方法。(0.618 method is designed based on the principle of golden, it is also called the golden section method. Optimization is an optimization problem seeking.)

基于matlab的GUI 界面设计、开发，非常不错的一本入门书籍。(Matlab-based GUI interface design, development, and a very good introductory books.)

复杂网络拓扑生存算法，对可能出现的拓扑不连通的状况进行了考虑，并支持网络拓扑的动态变化(Survival of a complex network topology algorithm, consider the situation that may appear disconnected topology and supports dynamic changes in the network topology)

Low pass filter . Using hamming window and and FIR filtering

经典书籍《模式分类》杜达编写，包含了其中所有的算法的MATLAB代码，有助于大家对算法的学习。(Classic books " classification" Duda preparation, which contains all of the algorithm MATLAB code, help you learn the algorithm.)