minGS

matlab编写的动态主成分分析特征提取 实验有效(matlab dynamic principal component analysis prepared by the Feature Extraction effective)

Development of a Sliding Mode Control System with Extended Kalman Filter Estimation for Subjugator

Create a Monte Carlo simulation of random source of packets that are received and processed by a M/M/1 queue.(Create a Monte Carlo simulation of random source of packets that are received and processed by a M/M/1 queue.)

说明：  快速傅里叶变换 (FFT) 实现，给定信号x(t)=sin(2πf0t)，f0=50Hz，对x(t)以fs=200Hz进行抽样，抽样点数为N=16。编写程序实现对x(n)的快速傅里叶变换，求得相应的X(K)。(Fast Fourier Transform (FFT) to achieve a given signal x (t) = sin (2πf0t), f0 = 50Hz, for x (t) with fs = 200Hz sampling, the sampling points is N = 16. Procedures for the preparation of x (n) of the fast Fourier transform, obtained by the corresponding X (K).)

DESCRIPTION: This Matlab algorithm performs many tasks associated with power system analysis. First, it has the ability to perform both fully coupled and dc power flow analysis. Second, it has the ability to create measurements (with user-defined error) to be used as input for state estimation. Third, it has the ability to perform state estimation - allowing the user to examine how the placement of measurement devices as well as magnitude of distibution of measurement error affect the discrepency between power flow and state estimation results. In essence, it provides the user with a complete package for the study of both power flow and state estimation in n-bus power systems.

unpack basis coff Function for wavelet processing

一个关于matlab中gui的应用的例子( a exemple of gui)

使用matlab环境的GUI工具仿真八段均衡器，可视化界面，频域响应分析。(A case study of 8-band Equlizer in matlab by GUI tool)

Run the ROI file by issuing the command ROI in the command window and a GUI screen will pop up, the screen may be used for selecting a Region of interest while viewing the full length movie and adjusting the region of interest accordingly, after hitting save the GUI will dismantle the movie to seperate images and will save them in current folder.The GUI panel is self explanatory and as such does not require any further explanations

matlab中灰度图像的左右镜像变换~~(the left and right of the gray-scale image in matlab mirror transform ~ ~)