meanshift

this zip file contains m-file as functions to fingerprint enhancement.

用盖世圆的方法进行信源数的估计，是自己查资料然后写的程序，并已经测试过，估计结果的准确率挺高的。(Estimate the number of signal sources with matchless way round)

GOOD PLATFORM TO LEARN THE CODES OF TRACKING ON THE OBJECT OF BODY FALLING ON THE GROUND

北大高慧璇版《应用多元统计分析》第8章8因子分析MATLAB编程源码(Applied Statistical Analysis)

lfm信号的处理，lfm信号的处理的matlab仿真(lfm signal processing)

数组图像处理阈值分割 ＭＡＴＬＡＢ源程序

复杂网络中几种常见网络的生成程序。详细说明了生成机理，对于初学者帮助较大。(Complex network of several common network formation process. Detailed description of the formation mechanism, for beginners to help more.)

MATLAB CODE FOR MMSE

.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 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,(Annex structure: gatbx.rar: (1) gatbx-origin.zip; (2) gatbx-toolbox.rar; (3) gatbx-Test_fns under the compression package need to be added to Mat. The lab search path can be done, and gatbx-origin is the original version of the toolbox provided by Sheffield University, without any changes, which can be used for comparison. 3. Gatbx-example is the source code of example debugging and the debugging instructions of each example. You can compare it with the original book. 4. It is assumed that the gatbx toolbox is better than the gads toolbox in the new version of MATLAB 7 in familiarizing and understanding the principle and calculation process of genetic algorithm, although it is less visualized than gads.)

gold序列用于跳频通信，给出了gold序列生成跳频序列的生成函数，并给出高斯白噪声和多用户干扰下的误码率曲线。(gold sequence for frequency hopping communications, give the gold sequence generated hopping sequence generation function, and to give white Gaussian noise and multi-user interference of the bit error rate curve.)