cfastica

The K-SVD algorithm written in Matlab

Matlab simulink of OFDM 4 QAM

主要边缘检测，灰度化处理，直方图，均衡化 二值化图像等图像处理技术，matlab编程，小程序代码，非常实用(The main edge detection, gray processing, histogram equalization binary image and other image processing technology, matlab programming, applet code, very useful)

802.15.4a channel code

说明：  关与windows程序的交通仿真。怎样描述汽车的行驶。(customs procedures and the traffic simulation. How to describe the car's ride.)

<以Matlab为基础的生物信号处理和生物医学图像处理> 英文书籍配套源程序 第二版 Biosignal.and.Biomedical.Image.Processing (< To Matlab-based biological signal processing and biomedical image processing> English second edition Biosignal.and.Biomedical.Image.Processing books matching source)

STL(Standard Template Library)是C＋＋标准庫的一部分（80 ），是用C＋＋ Template机制来表达泛型的庫(Standard Template Library )

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)

presentation of MATLAB

关于基于解相干的MUSIC的源程序，分别列出Toeplitz,矩阵分解，奇异值分解等情况~~~(ABOUT MUSIC based decorrelation of the source, respectively, which are listed several possible scenarios ~ ~ ~)