Matlab_OFDM-and-figure

该程序是使用Matlab仿真协同通信的DF（解码转发）基本性能，基本模型S-R-D三个节点，接收端使用MRC（最大比合并）。固定DF由于SR信道的错误，其性能受到限制，在大SNR情况下不能获得有效分集。而当SR距离足够近的时候，可能获得一定的分集增益。(AF and DF simulation procedure code)

  最小费用最大流算法通用Matlab函数 基于Floyd最短路算法的Ford和Fulkerson迭加算法   基本思路：把各条弧上单位流量的费用看成某种长度,用Floyd求最短路的方法确定一条   自V1至Vn的最短路 再将这条最短路作为可扩充路,用求解最大流问题的方法将其上的流   量增至最大可能值 而这条最短路上的流量增加后,其上各条弧的单位流量的费用要重新   确定,如此多次迭代,最终得到最小费用最大流.( Minimum cost maximum flow algorithm for general Matlab functions based on the Floyd shortest path algorithm of Ford and Fulkerson superposition algorithm of the basic ideas: the cost of unit flow on the arc as a certain length of Floyd for the most short-circuit method to determine the one percent V1 through Vn are the most short-circuit then this short circuit as a scalable road, a method for solving the maximum flow problem on flow increased to the maximum possible value that the shortest way increased traffic, the cost of unit flow on each arc sure, so many iterations, the final minimum cost maximum flow.)

实现多级节点的停止等待ARQ，算出吞吐量(To achieve the multi-stage node Stop and Wait ARQ, calculated throughput)

说明：  Brain Brain-State State-in in-a-Box (BSB) Neural Network. Here a BSB neural network is implemented. It is an autoassociative memory.

说明：  这是一份有关于UWB信道的matlab代码(It is about UWB channel)

face recognition by using histogram matching

频谱方差在语音信号端点检测中的应用，matlab程序，实用。(spectrum of the voice signal variance endpoint detection, the application procedures Matlab and practical.)

matlab 程序代码 线性系统 龙格库塔法 可以解微分方程(matlab code linear system can solve differential equations Runge-Kutta method)

谱聚类算法建立在谱图理论基础上，与传统的聚类算法相比，它具有能在任意形状的样本空间上聚类且收敛于全局最优解的优点。 该算法首先根据给定的样本数据集定义一个描述成对数据点相似度的亲合矩阵,并且计算矩阵的特征值和特征向量 ， 然后选择合适 的特征向量聚类不同的数据点。谱聚类算法最初用于计算机视觉 、VLS I 设计等领域， 最近才开始用于机器学习中，并迅速成为国际上机器学习领域的研究热点。(Spectral clustering algorithm based on the reproduction diagram theory, compared with the traditional clustering algorithm, it can have on the arbitrary shape of sample space clustering, and the advantage of converge to global optimal solution.The algorithm firstly according to the given sample data set defines a description of the data points of similarity in pairs of affinity matrix, and computing the matrix eigenvalue and characteristic vector, and then choose the appropriate feature vector clustering of different data points.Spectral clustering algorithm was originally used in computer vision, VLS in areas such as design, I recently started used in machine learning, and quickly became a hot issue in the field of international machine learning research.)

该程序实现对序列的快速傅里叶反变换和离散傅里叶的反变换(The program implements a sequence of fast Fourier transform and inverse discrete Fourier transform of the anti-)