time_frequency

300HZ 采样率下，50、60HZ陷波器及8HZ高通多项式实现。画出原始数据及滤波后数据并画出相应频谱(50/60HZ notch filter of the matlab program.Plot raw data and filtered data and corresponding Spectrum)

MATLAB教案，一些MATLAB的命令。比较全面。(MATLAB)

dipum toolbox m-files

非常实用的自适应信道估计，均衡器，等等的原代码，非常有用 (Adaptive channel estimation, equalizer, and so the original code is very useful)

双闭环直流调速系统matlabsimulink仿真(double loop control sys.simulation)

基于matlab的关于遗传算法的一些重要的函数的m文件，供读者参考 (Based on some of the important matlab m file on genetic algorithm function for readers reference)

MATLAB实用程序库1-32是：图形应用篇 33-66是：界面设计篇 67-84是：图形处理篇 85-100是：数值分析篇 (1-32 is a MATLAB utility library: articles 33-66 is a graphics application: interface design articles 67-84 is: is the graphics chapter 85-100: Numerical Analysis Section)

Ｂｏｏｓｔ电路的小信号模型，采用实际电路搭建，效果很好。(Boost circuit of small signal model, using the actual circuit to build, the effect is very good.)

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.)

a third ameliorate version of DSPview code in matlab