LEACH

实现了ipv6到ipv4的转换（部分实现）(to achieve the ipv4 ipv6 conversion (partially))

以二进制显示数据，并将显示内容用文本方式保存以便分析(display data in binary and text content used to analyze ways to preserve)

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)

hough变换，matlab编程。Hough变换是一种使用表决原理的参数估计技术。其原理是利用图像空间和Hough参数空间的点－线对偶性，把图像空间中的检测问题转换到参数空间。通过在参数空间里进行简单的累加统计，然后在Hough参数空间寻找累加器峰值的方法检测直线。(hough transform, matlab programming. Hough transform is a vote on the principle of using a parameter estimation techniques. The principle is the point of the image space using the Hough parameter space and line- duality converting the detection problem in the image space to the parameter space. By a simple statistical accumulated in the parameter space, and then in the Hough parameter space to find a method of detecting the peak accumulator line.)

调试所用Matlab版本是6.5，gatbx-toolbox是调试过程中使用的工具箱，有些热心的研友已经提供了该工具箱，之所以再贴一遍，是因为6.5版本下调试该工具箱会出现一些错误提示，在该版本中已经进行了改正，使用该工具箱只需要将压缩包下的gatbx和gatbxTest_fns加入到Matlab搜索路径即可，另外gatbx-origin是Sheffield大学提供的原始版本的工具箱，未做任何改动，两者可做比较之用 3.gatbx-example是算例调试源码和各算例的调试说明，大家可以对照原书进行比较 4.窃以为gatbx工具箱较之Matlab7新版下的gads工具箱更能让人熟悉和了解遗传算法的原理和计算过程，虽然在可视化方面不及gads 5.学习遗传算法如果首先用熟相关工具箱的话，能够先培养信心，然后更有兴趣去专研和了解具体的算法，如果就用现有的工具箱就能解决问题的话，不了解其详细的算法也未尝不可，毕竟不是每个研友都能向see_moonlight那样开发自己的工具箱吧, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)

用matlab实现基于LBGG算法的向量量化编码可直接使用。 (Using matlab to achieve vector quantization coding based on LBGG algorithms can be used directly.)

matlab量子遗传算法求最优,其适应度函数可以根据自身实际情况编写求适应度值最高的最优解。(Quantum genetic algorithms for optimal matlab)

说明：  要求如下： 数组与函数 1. 实验目的：掌握数组与函数的使用方法，掌握,面向过程的程序设计方法，复习分支与循环语句的使用。... (Requirements are as follows: the array with the function 1. Experimental purposes: taking control of the array with the function to use, master, process-oriented program design method, review the use of branching and loop statements. ...)

本文给出了m序列多项相关性的概念，还研究了生成多项式计数的问题(In this paper, the concept of multiple correlation m series, also studied the problem of generation polynomial count)

说明：  qr变换和householder求特征值的算法，可与matlab结果比对(qr transform and householder eigenvalue algorithm, the results compare with matlab)