MFE

fit_ML_normal - Maximum Likelihood fit of the normal distribution of i.i.d. samples!. Given the samples of a normal distribution, the PDF parameter is found fits data to the probability of the form: p(r) = sqrt(1/2/pi/sig^2)*exp(-((r-u)^2)/(2*sig^2)) with parameters: u,sig^2 format: result = fit_ML_normal( x,hAx ) input: x - vector, samples with normal 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 sig^2,u - fitted parameters CRB_sig2,CRB_u - Cram?r-Rao Bound for the estimator value RMS - RMS error of the estimation type - ML

基于金字塔完善的KL算法描述，是matlab代码，值得学习(Pyramidal implementation of LK Feature Track)

sliding mode and fuzzy

因为你曾有过回忆，所以你会心存恐惧；因为你曾有过回忆，所以你会偶尔犹豫；因为你曾有过回忆，所以你会有所保留；因为你曾有过回忆，所以你渐渐变得迟疑。(Because there had been recalled, you will fear because there had been recalled, so you will occasionally hesitate because there had been recalled, so you will be retained because you have had memories, so youbecome more and more hesitant.)

用于心电信号检测，使得输出的心电信号真实准确(True and accurate ECG for ECG signal detection, making the output)

passion方程的第一类边界条件的数值解，边界条件过于复杂而无法求得解析解。这就需要借助于数值法来求电磁场的数值解。有限差分法便是一种比较容易的数值解法。(Numerical Solution of the first boundary condition passion equations and boundary conditions are too complex to be obtained by analytical solution. This requires the help of numerical methods to find numerical solution of electromagnetic fields. Finite difference method is a relatively easy numerical method.)

code for sattelite calculaton

模糊自适应pid与传统pid对比，有较好的跟踪控制效果(fuzzy control)

采用格子玻尔兹曼方法模拟了2维泊肃叶流 选择D2Q9格子 可输出速度和压力曲线(Using lattice Boltzmann method to simulate the two-dimensional Poiseuille flow D2Q9 lattice can choose the output speed and pressure curve)

matlab 地震 速度分析 自写的matlab源程序(matlab Velocity analysis)