TSP(TravelingSalesmanProblem)

MATLAB GUI 开发 时域分析 自动控制原理课程教学应用(MATLAB GUI development time domain analysis of the application of Automatic Control Theory)

K邻域模式识别方法 KNN算法不仅可以用于分类，还可以用于回归。通过找出一个样本的k个最近邻居，将这些邻居的属性的平均值赋给该样本，就可以得到该样本的属性。更有用的方法是将不同距离的邻居对该样本产生的影响给予不同的权值(weight)，如权值与距离成正比。(k-Nearest Neighbor algorithm )

说明：  这是国外一本经典教材附带的程序，通信系统的matlab实现，所含例子丰富(This is a classic foreign materials attached to the procedures, communications systems to achieve matlab contains abundant examples of)

MATLAB code that simulates our proposed Max Likelihood Estimation of P matrix using EM algorithm

本软件主要用于结构的时域试验模态分析，包括单输入单输出，单输入多输出和多输入多输出程序设计。传统的模态分析软件大多是基于频域分析方法，需首先对采样信号进行Fourier 变换。本软件使用实测时域信号，无需Fourier变换，可以避免由于信号截断而引起泄露、出现旁瓣、分辨率低等问题对辨识精度的不利影响。此外，节省了计算机运算时间，可以对实际工况状态下的结构进行在线参数识别。(This software is mainly used for the structure of time-domain experimental modal analysis, including single-input single-output, single-input multiple-output and multiple-input multiple-output programming. Traditional modal analysis software are mostly based on frequency domain analysis, needed first sampled signal Fourier transform. The software uses the measured time-domain signal without the need for Fourier transform, avoid truncated because of the signal caused by leaks, there sidelobes and low resolution of the issue of adverse effects on the identification accuracy. In addition, the savings in computing time, to the actual condition of the structure of the state-line parameter identification.)

频幕上的图形捕捉代码，例如在频幕上捕捉手型等，捕捉完后再进行样条插值即可相似图形(Frequency of the graphics on the screen capture code, For example, in the the frequency screen capture hand type, after their capture spline interpolation of similar figures)

matlab与c#结合开发图形界面,在c#的picturebox中调用matlab的figure图像界面(matlab develop program)

这是一个计算复杂网络参数closeness centrality 的程序，已调试(this program is used to caltulate closeness centrality)

SVM multi classifier with diferent Kernels example

说明：  毛拉贝库算子的MATLAB实现,用于计算图像的特征点(hair Rabe Operator for the MATLAB used in the calculation of the image feature points)