powerflow

加入重复控制，bXYCZIo参数三相光伏逆变并网的仿真，代码里有很完整的注释和解释，基于互功率谱的时延估计，fUIRmUe条件给出接收信号眼图及系统仿真误码率，仿真图是速度、距离、幅度三维图像。( Join repetitive control, bXYCZIo parameter Three-phase photovoltaic inverter and network simulation, Code, there are very complete notes and explanations Based on the time delay estimation of power spectrum, fUIRmUe condition The received signal is given eye and BER simulation systems, FIG simulation speed, distance, amplitude three-dimensional image.)

关于matlab主元分析的一个简单的实例，可供初学者参考学习。(Matlab PCA on a simple example of reference for beginners to learn.)

说明：  matlab辨识算法的仿真程序。。很有用哦(identification algorithm matlab simulation program. . Oh, very useful)

A multi-Kalman filtering approach for video tracking of human-delineated objects in cluttered environments is an latest PH.D graduation paper! it give to most needing people.(A multi-Kalman filtering approach for vid eo tracking of human-delineated objects in clu ttered environments is an latest PH.D. graduati on paper! it give needing to most people.)

Robust control with matlab

thanx u gav me a nice option to upload and take models

this development will help to develop your program nicely. please read it and make improvement.

基于模板匹配的人脸检测教程，matlab代码(tutorial of face detection by template)

里面包含主元分析PCA的Matlab代码，包括提取主元，求方差贡献率，绘制贡献率直方图等(Which contains the principal component analysis PCA of the Matlab code, including the extraction of the main element, seeking variance contribution rate, contribution rate of histogram mapping, etc.)

假设一个接收到的信号为：x(t)=s(t)+n(t), 其中s(t)=A*cos(wt+a), 已知信号的频率w=1KHz， 而信号的幅度和相位未知，n(t)是一个服从N(0,1)分布的白噪声。为了利用计算机对信号进行处理， 将信号按10KHz的频率进行采样。 通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). 在未知信号频率的情况下，通过对x(t)进行LMS自适应信号处理，从接收信号中滤出有用信号s(t). (Assuming a received signal: x (t) = s (t)+ n (t), one of s (t) = A* cos (wt+ a), the known frequency signal w = 1KHz, And the signal amplitude and phase of the unknown, n (t) is a subject to N (0,1) the distribution of white noise. The use of computers in order to deal with the signal, The signal by sampling frequency of 10KHz. Of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t). Frequency signals in unknown circumstances, the adoption of x (t) for LMS adaptive signal processing, filtering from the received signal in the useful signal s (t).)