oct

现我做了一个基于RHR算法的李氏指数计算方法，收敛速度很快，精确度也还可以，现传上：(Now I had a RHR algorithm based on Lyapunov exponent calculation methods, fast convergence, accuracy can also now Chuan on:)

说明：  滤波处理，对信号进行滤波处理，提取信号的故障特征频率(Filtering, filtering the signal, extract the fault characteristic frequency of the signal)

matlab程序代码，三维杆单元有限元结构刚度和质量矩阵的生成(Matlab program code, 3 d finite element structure stiffness and stem the generation of mass matrix)

multi-view spectral learning

Helps in learning MATLAB programming

Channel estimation using MMSE

chen分数阶的吸引子仿真，很容易实现的，希望可以帮助你。一起学习混沌吧。(chen fractional attractor simulation, it is easy to achieve, I hope you can help. With learning chaos.)

.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.)

说明：  matlab pcm的实现的函数，适合学生使用哦 函数有说明 方便阅读(matlab implement pcm for students. we have information about the function being used)

simulation of various cases of pf in synchronous motor