压缩感知

可进行电力系统多节点系统的优化潮流计算，适合电力行业同仁仿真用(Power system can be multi-node system optimal power flow calculation for the power industry using simulation Tongren)

用FDTD解决一维电磁场传播问题的MATLAB实现(Solve one-dimensional electromagnetic field propagation using the FDTD)

These are basic examples in MATLAB

draw a polyline between a set of vertices in 3D

压电作动器迟滞非线性建模与补偿控制研究_李巍，迟滞补偿器，迟滞回归线拟合，很好的博士论文(Piezoelectric actuator hysteresis nonlinear modeling and compensation control research Li Wei, retardation compensator, hysteresis regression line fitting, good PhD thesis)

MATLAB,it help we learn gsm very well(matlabexam,it help we learn gsm very well)

It describes the fading in wireless channels

Smooths a matrix (with/without NaN s) via recursive moving average method and eliminates data gaps. (MOVING_AVERAGE(X,F) smooths the vector data X with a boxcar window of size 2F+1, i.e., by means of averaging each element with the F elements at his right and the F elements at his left. The extreme elements are also averaged but with less data, obviously. Leaving the edges intact. The method is really fast. MOVING_AVERAGE2(X,M,N) smooths the matrix X with a boxcar window of size (2M+1)x(2N+1), i.e., by means of averaging each element with its surrounding elements that fits in the mentioned box centered on it. This one is also really fast. The elements at the edges are averaged too, but the corners are left intact. NANMOVING_AVERAGE(X,F) or NANMOVING_AVERAGE(X,F,1) accept NaN s elements in the vector X the latter interpolates also those NaN s elements surrounded by numeric elements. NANMOVING_AVERAGE2(X,M,N) or NANMOVING_AVERAGE2(X,M,N,1) accept elements NaN s in the matrix X the latter interpolates also those NaN elements surrounded by numeric elements.)

图像傅里叶变换，matlab模拟透镜成像过程，可看到频域信息(fft2 optical imaging progress)

都是关于空间普估计算法，其中有解相干和非相干算法以及它们之间的对比( the spatial spectrum estimation)