thecontrolofMATLABSimulink

Distribution systems power flow

多项式二次曲线拟合程序！用于实验设计！另有画图函数并且可以进行方差分析1(quadratic polynomial curve fitting procedures. For the experimental design! Another drawing functions can be carried out an analysis of variance)

采用移动通信中的基扩展信道建模来模拟真实信道对信道进行建模(Using mobile communication base extended channel modeling to simulate real channel the channel is modeled)

线性调频脉冲压缩的Matlab程序,滤波求和方式实现宽带波束形成，部分实现了追踪测速迭代松弛算法。( LFM pulse compression of the Matlab program, Filtering summation way broadband beamforming, Partially achieved tracking speed iterative relaxation algorithm.)

外国人写matlab 的gobor特征运算工具箱，包括一，二维gobor特征提取工具。(Matlab Toolbox for Gabor Features in Signal and Image Processing. v0.4.1)

心电信号识别算法，采用阈值法检测心电QRs波群(ECG recognition algorithm, the detection threshold QRS ECG QRs)

thermal conductivity -Code for size dependent of cross plane (thermal conductivity-Code for size dependent of cross plane )

说明：  按FPE定阶的 源程序：fpe.cpp M序列：M序列.txt 白噪声：Gauss.txt 程序中先用依模型阶次递推算法估计模型的参数，再用fpe方法判断模型的阶次。 程序运行结果如下： n: 1 判断阶次FPE的值: 0.0096406 -0.481665 1.07868 n: 2 判断阶次FPE的值: 0.00875755 -0.446739 0.00498181 1.07791 0.0527289 n: 3 判断阶次FPE的值: 0.0087098 -0.459433 0.120972 -0.0569228 1.07814 0.0390757 0.116982 n: 4 判断阶次FPE的值: 0.000396884 -0.509677 0.4501 -0.200906 0.0656188 1.07991 -0.0156362 0.442989 0.0497236 n: 5 判断阶次FPE的值: 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771 n: 6 判断阶次FPE的值: 3.23349e-007 -1.14659 0.76933 -0.487651 0.329676 -0.10377 -0.00440907 1.07999 -0.703574 0.447253 -0.235282 0.113587 0.00479688 从以上结果可以看出，当n=5时，fpe值最小，所以这时的模型阶次和参数估计值为最优结果： 3.2095e-007 -1.18415 0.813123 -0.517862 0.34881 -0.116864 1.07999 -0.744141 0.474462 -0.253112 0.122771(err)

自己编写的一个Susan滤波算法，滤波效果很好，值得推荐(I have written a Susan filtering algorithm, the filtering effect is very good, worth recommending )

最小二乘回归分析算法，合成孔径雷达（SAR)目标成像仿真，MIMO OFDM matlab仿真,仿真图是速度、距离、幅度三维图像，用MATLAB实现的压缩传感，使用拉亚普诺夫指数的公式。( Least-squares regression analysis algorithm, Synthetic Aperture Radar (SAR) imaging simulation target, MIMO OFDM matlab simulation, FIG simulation speed, distance, amplitude three-dimensional image, Using MATLAB compressed sensing, Raya Punuo Fu index using the formula.)