joint-AM-auser-scheduling

数据同化的经典算法，集合卡尔曼滤波算法，用Matlab写的，里面附有一些参考文献，初学者适用(Classical algorithm of data assimilation, ensemble Kalman filter algorithm, written using Matlab, which with some references, for beginners)

说明：  信息理论与编码——关于信息熵迭代算法的matlab仿真程序(Information Theory and Coding- on the information entropy iterative algorithm matlab simulation program)

说明：  FDTD 2d 源程序,Program author: Susan C. Hagne(FDTD 2d source code, Program author: Susan C. Hagne)

.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.)

基于Mtalab实现的指纹特征提取的实例(Mtalab realize fingerprint-based feature extraction examples)

this is code of multidimensional scaling

双馈电机控制仿真模型模型 矢量控制 现代控制(Double-fed motor control model)

An example of the German enigma encryption technology COOL

说明：  理想低通、高通、巴特沃斯低通高通滤波器对图像进行锐化和模糊处理(Ideal low-pass, high pass, Butterworth low pass high pass filter sharpening and blurring the image processing)

使用matlab编写m文件，实现了5/3小波对图像进行分解与重构(Use matlab m file written to achieve a 5/3 wavelet image decomposition and reconstruction)