OMP

an GUI application in matlab

三个MATLAB源代码三个MATLAB源代码三个MATLAB源代码(three matlab code)

main executing reference usage: executeMain.m -------------------------------------------------------------------------------- The geometrical interpretation of the 1-D DFT may have been seldom seen or introduced. The utility demonstrates the visualization of the phenomenon. * Caveat: - Help section yet to be included. - For educational reference only. You may also wish to visit Professor Grigoryan s weblink at: http://bit.ly/ProfessorArtyomGrigoryan

一个matlab time dot main cross-correlation， 解压后在matlab里运行即可，可计算各种数字信号的延迟，没有密码(a Matlab time dot main cross-correlation , unpacked were operating in Matlab can, translate various digital signal delays, no password)

Good Bragg fiber matlab code

Tiva C 123 Application projects

MATLAB coding for 16 QAM is given

最新的电力系统分析软件包 V2.1.8，包含了：PF-潮流计算；CPF-连续潮流；OPF-最优潮流；SSSA-小扰动分析；TDS-时域仿真；GUI-用户人机界面；GNE-自定义模型等功能。经过验证，该工具包已经可以计算上千节点规模的系统。而且该软件包源代码完全公开，因此用户可以根据自己的研究兴趣编写修改相应源代码实现研究目的。(The Power System Analysis Toolbox (PSAT) is a Matlab toolbox for electric power system analysis and simulation. )

基于GUI的图像分割：在不均匀光照情况下的图像的阈值图像分割(Image segmentation based on GUI: under the condition of non-uniform illumination image threshold image segmentation)

本文件包含Metropolis算法对函数进行抽样;显示生成样本的相关图和直方图. 其中文件：metropolis_hastings.m该文件包含4个示例，用于通过Metropolis-Hastings算法对复杂函数进行抽样，显示生成样本的相关图和直方图。metropolis_hastings2.m 包含一个例子，用于通过Metropolis-Hastings算法对双变量高斯PDF进行采样，显示生成样本的相关图和直方图，以及其轮廓和边缘PDF的函数等。(This program develops a very basic example, for the sampling of functions by means of Metropolis algorithm; showing the correlograms and the histogram of the generated samples. metropolis_hastings.m. This file contains four examples, for the sampling of complex functions by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples. In this case the proposals PDF its no longer symmetric. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.It needs the "MH_routine.m" function. metropolis_hastings2.m. This file contains one example, for the sampling of a bivariate Gaussian PDF by means of Metropolis-Hastings algorithm, showing the correlograms and the histograms of the generated samples, and the function with its contours and marginals PDF. Additionally, the burn-in period, the lag period and the Geweke test have been implemented.)