HRTF_interpolation_in_3D

Mobile iris recognition systems: An emerging biometric technology

fit_ML_normal - Maximum Likelihood fit of the laplace distribution of i.i.d. samples!. Given the samples of a laplace distribution, the PDF parameter is found fits data to the probability of the form: p(x) = 1/(2*b)*exp(-abs(x-u)/b) with parameters: u,b format: result = fit_ML_laplace( x,hAx ) input: x - vector, samples with laplace distribution to be parameterized 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 u,b - fitted parameters CRB_b - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

简要介绍了怎么使用matlab求解最大值最小值问题，比较适合新手初学使用(A brief introduction to how to use matlab for solving the maximum-minimum problems, and more suitable for the novice beginner)

QAM QPSK的MATLAB 仿真程序，对刚开始接触MATLAB的学者很有帮助(QAM qpsk)

matlab求解二阶全微分方程解析解的程序(the programming of resolving the Second order full differential equation by matlab)

基于连续hopfield网络的TSP问题解决方法(Based on continuous hopfield networks TSP problem solving)

一种关于矢量控制的仿真，和大家一起研究啊(With regard to the simulation of a vector control, and we study together ah)

说明：  经典的有限元入门程序之beam，希望对你有用。(Introduction to classical finite element procedures beam, hope useful for you.)

matlab求解两点边值问题的常微分方程组。追赶法求解。(chasing method for solving ODE bvps)

Objectif : concevoir le contrô le commande d une conditionneuse en suivant la démarche générale du cycle en « V » .