sourctoid

癌细胞的识别，实现阈值分割，细胞核分割，膨胀与腐蚀，形态学分类识别(Identification of cancer cells to achieve threshold segmentation, nuclear division, expansion and corrosion, morphological classification)

对肌电信号中的有用信号的提取，将无用信号幅度变为0.(Useful for EMG signal extraction in the unwanted signal amplitude becomes 0.)

this code can simulate the channel model for IEEE 802.15.3c.(802.15.3c channel model including LOS and NLOS model )

AWB based on grey world

基于高阶累积量的调制识别，可自己更改特征(Modulation recognition based on high-order cumulants can change its own characteristics.)

单点登陆的例子，说明文档，源码，jar包都有(Examples of single-point landing, documentation, source code, jar package has)

GPS坐标转换 xyz代表在wgs-84 xyz坐标系到相应的纬度 经度 wgs-84高程(GPS coordinate conversion xyz representatives wgs-84 xyz coordinate system to the corresponding latitude longitude elevation wgs-84)

用Matlab实现的简单的kalman滤波实例，了解其递推方程(Matlab simple kalman filtering instance, to understand the recursive equations)

无线传感器网络中采用虚拟力算法进行节点部署时，节点优化过程的matlab算法，产生结果有直观的图形，并且可以根据不同需要进行参数更改。代码导入后可以直接运行(When virtual force algorithm is used to deploy nodes in wireless sensor networks, the matlab algorithm of node optimization process generates intuitive graphics and can change parameters according to different needs. Code can run directly after importing)

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)