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说明：  《matlab7.0 从入门到精通》源码(source of the book <<matlab7.0>> ,has many examples)

in this package are the programs needed to solve any problems differential linear boundary value.

用Matlab解决图像中交互式画矩形后保存问题(Using Matlab to solve the interactive image after drawing the rectangle preservation)

第一步：首先我们需要强大的SNMP信息收集和整理工具，网络中这类工具比较多，如果我们只是监控的话建议使用小巧的monomon即可，当然如果企业内部要自定义建立流量监控站点或服务中心的话可以使用其他支持SNMP的MRTG，PRTG等工具。我们可以到http://monomom.matf.de/download.php地址下载该程序，整个程序只有一个文件(Step one: First of all, we need strong SNMP information to collect and organize tools, network tools such as more, if we only recommend the use of surveillance, then compact monomon can, of course, if the custom-house to set up traffic monitoring site or service center If you can use other support SNMP-MRTG, PRTG, such as instrument. We can http://monomom.matf.de/download.php address to download the program, the whole process only one document)

I upload kalman Matlab code

自编surf特征点检测，matlab语言，仅供参考(surf feature point detection by mySelf)

说明：  matlab 编程（第七版),英文书籍，详细阐述了matlab工具的使用(Timothy A. Davis.MATLAB Primer.7th ed.CRC.2005)

计算分岔理论工具包,基于matlab计算简单界面友好 (The calculated bifurcation theory Kit)

盲均衡是指均衡器能够不借助训练序列 ,而仅仅利用所接收到的信号序列即可对信道进行自适应均衡。 (Blind equalization means without the aid of the equalizer training sequence can, but only using the received signal sequence to the channel adaptive equalization.)

说明：  灰色系统理论提出了对各子系统进行灰色关联度分析的概念，意图透过一定的方法，去寻求系统中各子系统（或因素）之间的数值关系。因此，灰色关联度分析对于一个系统发展变化态势提供了量化的度量，非常适合动态历程分析。 计算步骤 ? 确实参考数列与比较数列 ? 对参考数列与比较数列进行无量纲化处理 ? 计算关联度(The grey system theory puts forward the concept of grey relational degree analysis for each subsystem. The purpose is to find the numerical relationship among subsystems (or factors) in the system through certain methods. Therefore, the grey relational degree analysis provides a quantitative measure for the development and change of a system, which is very suitable for dynamic process analysis. Computing steps_Independent reference sequence and comparison sequence_Dimensionless processing of reference sequence and comparison sequence_Computing correlation degree)