armaguji

用Matlab作图时，特别是所作的图是要用于科研论文投稿时，对图的大小有一定要求。但用缺省设置作图时，图的大小不能控制，而且常常有大块的空白。本程序可控制图的大小和位置，并能自动去掉空白。(Using Matlab mapping, especially of the map is to be used for scientific research papers submission, the size of the map has a certain requirement. However, when using default settings mapping, map the size of control, often have large gaps. This procedure can control the map size and position, and can automatically remove blank.)

这是一个小波分析中mallat经典算法的例子源码(This is a wavelet analysis Mallat classic example of the algorithm source code)

自己编写的利用MATLAB导入abaqus的inp文件的代码(I have written using MATLAB import abaqus the inp file code)

该文件为功率谱估计的一个子程序，对广大读者很有帮助，现在拿出来和大家一起分享下(The file is a subroutine power spectrum estimation of readers helpful, and now share with everyone out under)

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)

Implements the traditional benchmark formulation used in optimization literature

Hamming 7,4 MAP algorithm step by step explained.

Histogram Equalization

说明：  无线通信基础，MIMO必读，MIT研究生教材，英文原版 (Wireless communications infrastructure, MIMO must-read, MIT graduate student teaching, the English original)

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