SEGY

聚类分析的matlab函数,内部有详细说明(Cluster analysis of the matlab function, has a detailed description of internal)

Turbo编码技术及其在移动通信中的应用研究(Turbo coding technology and its application in mobile communication research)

最小费用最大流算法通用Matlab函数，最短路算法的Ford和Fulkerson法迭加算(Common minimum cost maximum flow algorithm Matlab function, the shortest path algorithm of Ford and Fulkerson method of superposition operator)

该程序通过雅可比矩阵求解Lorenz系统的李雅普诺夫指数指数。(The program solves Lyapunov exponent of Lorenz system by Jacobian matrix.)

质子交换膜燃料电池模型，基于Matlab的燃料电池模型，适用于能源领域(The proton exchange membrane fuel cell model, Matlab-based fuel cell model, applicable in the field of energy)

在simulink环境下的车辆PID控制算法(PID control for vehicle)

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)

设有离散无记忆信源X,P(X)．二进制费诺编码为：1.将信源符号按概率从大到小的顺序排列2.将信源分成两组――按两组概率之差为最小分．3.上面一组编码为0，下面一组编码为1，一直分到一组只有一个信源为止．4.将一个信源分组得到的0和1全部连接起来，组成该信源的码字，信源即得到自己的费诺编码．(There be no X remembering the message source in case that having being scattered, binary Feinuo of P (X) code is: 1. Will believe that the source sign orders 2 according to probability is minor from arriving at greatly sequence. Will believe that the source divides into two part being allotted 3 according to two set of bad of probability for the minimum. A group of code is 0 above , a group of code is 1 underneath, till dividing till a group only when one believes a source 4. Get up with a 0 and 1 all connection believing that the source is divided into groups and , be composed of the codon owing message a source , believe that the source is to get self Feinuo code Powered )

Unsupervised Statistical Models for General Object Recognition

cognitive radio code