mohsin_multi_chain_pegasis

自适应信号 利用自适应信号分离器，可以有效的从白噪声中提取周期信号。现选取信号为正弦信号 ，宽带噪声信号为高斯白噪声，延迟D=50；收敛因子为 和 时的滤波效果。(Adaptive signal using adaptive signal separator, white noise can be effectively extracted from the periodic signal. Select the signal is sinusoidal signal, broadband noise signal is Gaussian white noise, the delay D = 50 convergence factor, and when the filtering effect.)

专家PID与普通PID的比较，说明专家PID优于普通PID(Compared with common PID, expert PID expert PID is better than the ordinary PID )

随机介质的基本知识和模型建立的相关算法以及流程图(Correlation algorithm and flowchart showing the basic knowledge and random medium model established)

说明：  先进PID控制源程序，需要的可以免费下载(Advanced PID control of source code, need can be downloaded for free)

simulation of bubble dynamic with Rayleigh Plesset equation inertially controlled

这是关于RADRA仿真的.有如下代码placeClutter.m, plotDistLines.m, plotFOV.m, radarSimulation.m, runRadarSim.m, targetsReturn.m, radarSimulation.fig, analyzBuffer.m, buildAntenaGain.m, createTargets.m, displayTargets.m, handleRadarControlls.m, MTIcalcTargetsV.m(RADRA simulation. PlaceClutter.m following code, plotDistLines.m, plotFOV.m. radarSimulation.m, runRadarSim.m. targetsReturn.m, radarSimulation.fig. analyzBuffer.m, buildAntenaGain.m. createTargets.m, displayTargets.m. handleRadarControlls.m, MTIcalcTargetsV.m)

LOWESS, Locally Weighted Scatterplot Smoothing for linear and non-linear data (enhanced)( LOWESS- Locally Weighted Scatterplot Smoothing Modifications: This regression will work on linear and non-linear relationships between X and Y.)

最近几年兴起的压缩感知在图片传输中的应用程序编写等(In recent years the rise of compressed sensing applications in picture transmission programming)

modern operating systems (clear edition) three chapters

预测控制工具箱的应用教程，以及其他的一些可参考的文献(Predict the Control Toolbox application tutorial)