Simulink

principle componant analysis based face recognition

fit_maxwell_pdf - Non Linear Least Squares fit of the maxwellian distribution. given the samples of the histogram of the samples, finds the distribution parameter that fits the histogram samples. fits data to the probability of the form: p(r) = sqrt(2/pi)*(a^(-3/2))*(r^2)*exp(-(r^2)/(2*a)) with parameter: a format: result = fit_maxwell_pdf( x,y,W,hAx ) input: y - vector, samples of the histogram to be fitted x - vector, position of the samples of the histogram (i.e. y = f(x,a)) W - matrix or scalar, a square weighting matrix of the size NxN where N = length(y), or 0 to indicate no weighting is needed. hAx - handle of an axis, on which the fitted distribution is plotted if h is given empty, a figure is created. output: result - structure with the fields a - fitted parameter VAR - variance of the estimation type- weighted LS or not weighted LS iter- number of iteration for the solution

PCA ICA and LDA for Face-Recognition this document helps you understand the main idea in PCA ICA and LDA algorithms and their differences

该算法用于实现静基座二位置捷联惯导初始对准(The algorithm used to implement static base two position SINS initial alignment)

说明：  MATLAB实验的使用模板，供初学者学习和使用 (MATLAB experimental use of templates for beginners to learn and use)

从倒立摆的数学模型入手，对比了lqr控制器和pid控制器的设计和仿真(From the mathematical model of the inverted pendulum to start, compared to the design and simulation controllers and pid controller lqr)

可利用matlab实现对图像进行膨胀、腐蚀、开启和闭合处理，自己输入图片(Can be achieved using matlab image expansion, corrosion, open and closed processing, their input pictures)

实现格子boltzmann方法中D2Q9模型的简单算法(lattice boltzmann D2Q9 model)

park变换的各种变换模型，基本囊括工作和学习用到的所有模型，可以直接使用(park transform a variety of transformation models, work and learning to use the basic include all models can be used directly)

利用mean5—3平滑对曲线进行拟合，可用于摩擦系数曲线，非线性数据进行拟合(Fit the curve with mean5-3 smoothing, which can be used for friction coefficient curve and nonlinear data for fitting)