LMSE

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

ZPETC与IMC的结合，以PID作为比较。提供matlab源码实现，与simulink源码实现。(ZPETC and IMC.)

算屈服点，延性系数 采用matlab编写的 通用屈服弯矩法(matlab )

matlab实现基本的通信仿真技术bpsk(To achieve basic communications simulation technology bpsk using matlab)

说明：  codes related to optimization

基于buck电路的滑模控制，主要包括仿真源码和文献资料等。(Sliding mode control based on buck circuit)

这个模型仿真了CDMA2000 1xRTT下行链路（从基站到移动站）。(The model simulation of CDMA2000 1xRTT downlink (from base station to mobile station).)

使用遗传算法对BP网络权值阈值进行优化，再用BP算法训练网络的代码，文本格式的(bp propoganda and genetic algorithm)

reed solomon encoder (matlab codes)

说明：  实现最小二乘算法进行系统辨识，并给出了图形。(To achieve least-squares algorithm for system identification, and gives the graphics.)