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MATLAB GUI代码，设计了一个适用于FTIR和动态箱组数据分析(MATLAB GUI Code)

SVM工具箱集锦，希望对大家有帮助，SVM现在发展很快啊！(SVM Toolbox Collection, I hope all of you help, SVM has developed very rapidly now ah!)

比较了几种自适应算法用于信道均衡的性能，包括LMS、NLMS、RLS等。包含仿真代码和理论的结果分析，以及自适应滤波理论的课件。(Compare the performance of several adaptive algorithm for channel equalization, including LMS, NLMS, RLS and so on. These results include simulation code and theoretical analysis, and courseware adaptive filtering theory.)

decode hdb3,对一个hdb3码进行译码运算( decode hdb3)

Matlab下读取avi视频文件并进行基于邻帧差法的视频目标运动检测(in matlab,reading avi video detect motion in base of the adjacent frame difference method)

一杯沸水冷却，圆柱体模型，底面半径0.05m，高0.1m，周围温度20度，初始水温100度 方程是四维输运方程（常数a^2=k/(c*p)，k是热传导系数0.6006焦/（米*秒*度）） 初始条件：t=0时水等于100度 边界条件：1.上下壁都是自由冷却，第三类边界条件，周围温度保持在20度（H=k/h,h取1） 2.杯壁绝热，第二类边界条件 图形显示格式,取过圆柱轴的截面温度变化将其做成动画. (A cup of boiling water for cooling, the cylinder model, the bottom radius of 0.05m, the high-0.1m, an ambient temperature of 20 degrees, the initial water temperature of 100 degrees is four-dimensional transport equation equation (constant a ^ 2 = k/(c* p), k is the thermal conductivity coefficient of 0.6006 J/(m* s* degrees)) initial conditions: t = 0 when the water equivalent to 100 degrees boundary conditions: 1. up and down the wall are free cooling, the third boundary condition, the ambient temperature maintained at 20 degrees (H = k/h, h check one) 2.杯壁insulation, the second boundary condition graphical display format, check-off section of cylindrical shaft temperature change to make animation.)

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)

说明：  用于估计未知数据的EM算法，即最大期望算法，用到的地方很多，可用来做同步。(The data used to estimate the unknown EM algorithm, that is the maximum expectation algorithm, used in many places, can be used for synchronization.)

这是一个matlab讲义，内容丰富，我发给了几个同学，都说不错。(err)

A simple matlab function used to uate estimated against actual values