Nesimetrija_vd_naponi_idealno

matlab图形图像处理源程序，对于数字图像处理很有帮助(matlab6graphic image processing source code)

利用小波和霍夫曼对单声道文件进行压缩编码 并解码输出(using wavelet and Hoffman right mono document coding and decoding output)

Adding noise to a signal and simulate the output using matlab

this is a simulink model about powersystem connected with windfarm protection

无线合作分集网络中资源分配策略研究的论文(Cooperative diversity in wireless network resource allocation policy research papers)

使用特征提取算法对一组数据进行特征提取。计算出J(A set of data, using the feature extraction algorithm for feature extraction. To calculate J)

通过计算行下点，继而计算覆盖率随时间变化(Point by calculating the line, and then calculate the change in coverage over time)

这个程序详细说明了怎么用极坐标画天线方向图(This procedure specifies how to use the antenna pattern in polar coordinates Videos)

说明：  .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：  这是一个用带亮度傅立叶描述子提取纹理特征的程序(This is a band brightness using Fourier descriptors of texture feature extraction procedures)