beam_model

详细的介绍了matlab7，0的工作原理和过程(Detailed description of the matlab7, 0 the principle and process)

说明：  matlab数学形态学处理里面，一维信号的膨胀腐蚀等没有现成的公式，编程为解决一维信号的处理问题。(inside matlab mathematical morphology, the expansion of one-dimensional signal no ready formula for corrosion, programming to address the problem of one-dimensional signal processing.)

matlab教程，详细介绍了matlab的各个部分(matlab tutorial, detailing every part of matlab)

运动估计块匹配算法 以下是工程中m文件的简单注释： main.m 可通过主函数调用各种基本的块匹配算法 FullSearch.m 全搜索法（又称为Exhaustive Search） ThreeStepSearch.m 三步搜索法（Three Step Search） NewTSS.m 新三步搜索法（New Three Step Search Algorithm） SESTSS.m 简便高效的三步搜索法（Simple And Efficient TSS） FourSS.m 四步搜索法（Four Step Search） DS.m 菱形搜索法（Diamond Search） ARPS.m 自适应路径搜索法（Adaptive Root Pattern Search） costFuncMAD.m 绝对误差均值函数 minCost.m 宏块间代价最小块 motionComp.m 图像重建 imgPSNR.m 计算图像的PSNR值(Block matching motion estimation algorithm The following is a simple project m file comments: main.m calls through the main function of basic block matching algorithm FullSearch.m full search method (also known as the Exhaustive Search) ThreeStepSearch.m three-step search method (Three Step Search) NewTSS.m new three-step search method (New Three Step Search Algorithm) SESTSS.m simple and efficient three-step search method (Simple And Efficient TSS) FourSS.m four-step search method (Four Step Search) DS. m diamond search method (Diamond Search) ARPS.m adaptive path search method (Adaptive Root Pattern Search) costFuncMAD.m mean absolute error between the cost of the function minCost.m macroblock most small motionComp.m calculated image reconstruction imgPSNR.m image PSNR value)

This is a solution manual of Probability of random signal.

说明：  这是一个自适应滤波器的程序，我加上了注解，易于初学者学习。(adaptive filter)

说明，如对听觉神经元间音爆穗间隔（ISI）的刺激之间的重复变异是用来区分标准条件，他们的反应之一。方法使用标准箱及产生的噪声和有偏见的所需数量的估计。此函数计算它到底。 MATLAB的MATLAB的版本7.11（2010b）(Description The variation in Inter-Spike Interval (ISI) between repetitions of a stimulus such as a tone burst for auditory neurons is one of the standard criteria used to classify their responses. The standard method uses bins and produces a noisy and biased estimate of the required quantity. This function calculates it exactly. MATLAB release MATLAB 7.11 (2010b) )

用EWMA（garch（1，1））模型进行计算，rolling window的形式(use the method of rolling window size equals to 250, adopt EWMA model which also calls Garch(1,1) to calculate the Value at Risk)

人月神话，又是一本软件工程领域的经典书籍，必读。。。。(MythManMonth.rarMythManMonth.rar)

Time domain FIR filter!