InstallGuide

分割算法 1.mean shift 的迭代过程只做了一次（为了简单） 2.对图像中的某一点进行平移时，只考虑了距离它小于2*hr的点，而不是图像中所有的 点。 3.实验过程中只用到了gauss核，虽然提供了method的选择，但在进行值域加权时只用 到gauss核，如果需要请自己改正。(mean shift algorithm )

用matlab编写的对输入的序列进行CRC-16的校验编码。(This Script Calculate crc-16 from a binary line of code creat)

1.附件结构: gatbx.rar: (1)gatbx-origin.zip (2)gatbx-toolbox.rar (3)gatbx-example.rar 2.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(1 attachment structure: gatbx.rar: (1) gatbx-origin.zip (2) gatbx-toolbox.rar (3) gatbx-example.rar 2 debugging using Matlab version 6.5, gatbx-toolbox is used during debugging toolkit, and some enthusiastic research has provided the Friends of the toolbox, paste again the reason is because the 6.5 version of the toolkit will be to debug some error, in this version has been corrected, use the toolkit to archive only under gatbx and gatbx Test_fns can be added to the Matlab search path, in addition to the University of Sheffield gatbx-origin is the original version of the tools available box, without making any changes, both to do comparison with the 3.gatbx-example is the study of debugging code and debugging examples illustrate, we can compare against the original book 4. I humbly believe gatbx than Matlab7 new toolbox toolbox under gads more people are familiar with and understand the principles of genetic algorithms and calculations, although less than in the visual )

mp3read源码 能将mp3文件读入matlab中，成为二进制代码 文件格式 mp3(mp3read mp3 source documents can be read into Matlab, binary code files into mp3 format)

PD controller for nonlinear model of robot

三相桥式逆变器SVPWM控制策略的仿真研究(Simulation of a three-phase bridge inverter SVPWM control strategy)

采用共信息(mutual information)实现了图像对齐的功能（image registration）。这在数据融合，图像处理里是很重要的。(adopt information (mutual information) to achieve alignment of the image features (i MAGE registration). This data integration, image processing, was very important.)

模式识别课件，神经网络，支持向量机，内容很经典(Courseware pattern recognition, neural networks, support vector machine, which is very classic)

基本的分类，预测，回归等算法，适合初学者学习，配有注释，容易理解(Basic classification, prediction, regression algorithm, suitable for beginners to learn, with comments, easy to understand)

介绍自适应模糊控制的论文，对相关需求的人有很好的帮助(Introduce adaptive fuzzy control papers relevant for those who need the help of good)