AR_model

有关聚类的一些例子，主要是用人工数据点进行分类(Some examples of the relevant cluster, is mainly used to classify artificial data points)

A mtlab code to process LEACH protocol

说明：  小波变换滤波的matlab程序的实现用于图像的背景抑制(Wavelet filter for image matlab program to achieve the background suppression)

Matlab通信仿真原理，中文的，是一本入门级别的，写的很详细，也有很多详细的例子(Matlab Communication simulation theory, in Chinese, is an entry-level, written in great detail, there are many detailed examples)

这是马尔可夫-蒙特卡罗算法的MATLAB源程序.(This is the Markov- Monte Carlo algorithm for MATLAB source code.)

高斯信道下采用RS 卷积码，译码时采用软硬两种判决方法对误码率进行仿真，利用simulink搭建模块，在利用m文件编程调用产生最终结果。(The paper use the RS code in AWGN.And two different of demodem way are used in it.)

该程序基于运动区域和运动区域外截矩形进行运动目标检测 (Based on motion region and exercise outside cutting a rectangular moving target detection )

一篇经典的2Ｄ转３Ｄ方面的文章，研究3DTV领域的很有用(ａclassic paper on 2D to 3D)

很好用的matlab蚁群算法，已经调试过可以使用(Good use of Matlab ant colony algorithm, debugging can use)

The Mass Univariate ERP Toolbox is a freely available set of MATLAB functions for performing mass univariate analyses of event-related potentials (ERPs), a noninvasive measure of neural activity popular in cognitive neuroscience. A mass univariate analysis is the analysis of a massive number of simultaneously measured dependent variables via the performance of univariate hypothesis tests (e.g., t-tests). Savvy corrections for multiple comparisons are applied to make spurious findings unlikely while still retaining a useful degree of statistical power. The advantages of mass univariate analyses include: reduced need for a priori defined time windows/regions of interest, discovery of unexpected effects even when a priori time windows/regions of interest are available, and greater spatial and temporal resolution than conventional mean time window analyses.