TLS-ESPRIT

PCM模型，利用simulink建立，可用于课程设计，直接在matlab中打开即可(PCM model)

MATLAB图像处理MATLAB图像处理MATLAB图像处理MATLAB图像处理(MATLAB Image Processing MATLAB Image Processing MATLAB Image Processing MATLAB image processing)

常规波束形成MATLAB程序，用于常规波束形成的MATLAB仿真(Graphic simulation for traditional beamforming)

此程序用提升法实现第二代小波变换 用的是非整数阶小波变换 采用时域实现,步骤先列后行 正变换：分裂，预测，更新； 反变换：更新，预测，合并 只做一层（可以多层，而且每层的预测和更新方程不同）(This procedure achieved by lifting the second generation wavelet transform with a non-integer order wavelet transform time-domain realization of transformation steps, then over are: split, predict, update inverse transform: Update, forecasting, consolidation only a layer of ( can be multi-layer, and each prediction and update equations are different))

选拨赛数学建模题目-网络谣言的传播模型。文件中包括题目、参考文献和matlab代码。basic.m中是最简化的模型，extend1.m中更进一步，算法中引入老年人和年轻人的活跃程度和对谣言的易信度的不同，beacons.m中再进一步引入网络警察角色来演化谣言的传播。(American Mathmetical Modeling Competition. Title:Spread of Internet Rumours.The file inclueds the title document,the reference literature and the MATLAB code.)

说明：  压缩感知是目前信号处理的新方法，本程序就是一个应用压缩感知的一个实例，有助于理解压缩感知。(Compressed sensing is a new method of signal processing, an application of this procedure is an example of compressed sensing to help understand the compressed sensing.)

使用ziegler函数可以直接设计出系统的PID类控制器(Use the ziegler function can be directly designed PID class controller)

ANFIS sample code, simulation in matlab.

Kmedoid 是类似于Kmean的Clustering method。(Kmedoid is similar to Kmean the Clustering method.)

LIBSVM 是台湾大学林智仁 (Chih-Jen Lin) 博士等开发设计的一个操作简单、易于使用、快速有效的通用 SVM 软件包，可以解决分类问题（包括 C- SVC 、n - SVC ）、回归问题（包括 e - SVR 、 n - SVR ）以及分布估计（ one-class-SVM ）等问题，提供了线性、多项式、径向基和 S 形函数四种常用的核函数供选择，可以有效地解决多类问题、交叉验证选择参数、对不平衡样本加权、多类问题的概率估计等。(LIBSVM is林智仁Taiwan University (Chih-Jen Lin) Dr. develop design a simple, easy to use, fast and effective generic SVM software package, can solve the classification problems (including the C-SVC, n- SVC), regression ( including e- SVR, n- SVR) as well as the distribution of estimates (one-class-SVM) and so on, provides a linear, polynomial, radial basis function and the S-shaped kernel function of four commonly used for selection, can effectively to solve a wide range of issues, cross-validation to choose the parameters of the imbalance in the weighted sample, multi-category probability estimation.)