TwoLRM

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

说明：  自适应控制的例程 文件samp.m使用matlab6.5通过(adaptive control routines samp.m documents through the use of matlab6.5)

得到一些列的离散数据，用matlab，进行曲线拟合(Get some out of discrete data with matlab, for curve fitting)

The Levenberg–Marquardt Method writed by Lourakis

利用分步傅里叶方法对光线传输长度对脉冲波形的影响进行比较(Step-by-step method using the Fourier transfer of the light pulse length on the impact of comparison)

利用超大规模集成电路技术实现高精度的A/D转换器通常采用过采样技术，该技术包括调制器和数字滤波两部分。(The use of VLSI technology to achieve high-precision A/D converters typically using oversampling technique including modulator and digital filter in two parts.)

face recognition by using histogram matching

pong game in python using simplegui

simulink solar power generation system simulation. A Buck converter drived by MPPT command.

说明：  用于图像拼接，图像序列的柱面全景拼接算法，matlab仿真程序(For image mosaic, image sequence cylindrical panorama stitching algorithm, matlab simulation program)