MATLAB5.X

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：  本程序能够实现棒的横震动，而且在震动过程中能够计算出共振频率(This procedure can achieve the cross-bar vibration, but also in the process of vibration resonance frequency can be calculated)

卡尔曼滤波，实现跟踪滤波分析，数据随机产生(kalman filter and tracking problem)

Matlab EMD Toolbox 中文使用说明，非常实用(The introduction of Matlab EMD toolbox in Chinese)

用于人脸识别matlab程序 有图片可以测试(Procedure for face recognition matlab image can test)

Demo for modulation 16PSK, after running you can show result

pe to snr for bpsk when we use rectangular modulation on bw=0.025,0.05,0.1

To keep overall output power per unit cost low, the grid-connected converters should be able to extract the maximum available power from the PV arrays. Since the PV array characteristic is highly nonlinear, maximum power point tracking (MPPT) of the PV arrays becomes rather challenging.

（1）通过Simulink创建仿真模型；（2）配置Simulink模型相关参数；（3）通过C语言调用C Engine API，控制模型的运行，并进行结果分析；（4）掌握Simulink模型在分布式仿真环境中应用的要点与方法。 ((1) created by Simulink simulation model (2) configuration parameters of Simulink models (3) by C language called C Engine API, the control model run, and the results of analysis (4) control in a distributed simulation environment Simulink model points and methods of application.)

scaling, transfering and rotating the cube