Hermite

Face feature extraction

bpsk蒙特卡洛仿真，误码特性与信噪比曲线，几种实现的对比(bpsk Monte Carlo simulation, BER- SNR characteristic curve)

说明：  matlab源代码，是一些教科书上要用到的代码。(matlab source code is that some textbooks use the code.)

piono code by using matlab

计算多重分形非趋势波动分析，包括回归分析和概率统计，用于时频分析算法。( Calculate the multifractal trend fluctuation analysis, Including regression analysis and probability and statistics, For time-frequency analysis algorithm.)

用LMS算法从白噪声中提出单频正弦信号模型(LMS algorithm with white noise from the proposed single-frequency sinusoidal signal model)

fit_mix_gaussian - fit parameters for a mixed-gaussian distribution using EM algorithm format: [u,sig,t,iter] = fit_mix_gaussian( X,M ) input: X - input samples, Nx1 vector M - number of gaussians which are assumed to compose the distribution output: u - fitted mean for each gaussian sig - fitted standard deviation for each gaussian t - probability of each gaussian in the complete distribution iter- number of iterations done by the function

无线传感器网络随机分布节点，形成拓扑结构(WSN deploys nodes at random and gets the topology of WSN.)

一个实现Adaboost训练和分类的matlab程序，带数据(Adaboost training and classification procedures, with data)

In mathematics, the method of characteristics is a technique for solving partial differential equations. Typically, it applies to first-order equations, although more generally the method of characteristics is valid for any hyperbolic partial differential equation. The method is to reduce a partial differential equation to a family of ordinary differential equations along which the solution can be integrated from some initial data given on a suitable hypersurface. This software is an example of implementation of characteristics method in a definition of convergent-divergent nozzle.