simulink_NRZ

利用matlab编程，比较软阈值和硬阈值收缩方案的去噪效果。通过了Matlab2009a的测试。(Using matlab programming, comparing the denoising shrinkage results of two methods between soft threshold and hard threshold program. Testing by Matlab2009a.)

matlab code for ring resonator simulation

船舶航向的控制，一个比较实用的程序，可以仿真运行(chuan bo hang xiang de kong zhi)

伪谱法轨迹优化软件工具包，在航空航天轨迹优化、机器人路径优化等领域用途较为广泛(The trajectory optimization software toolkit which is widely used in aerospace trajectory optimization, robot path optimization and other fields.)

.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.)

数字信号处理的MATLAB仿真加实验指导(Digital signal processing increases the MATLAB simulation experiment guide)

说明：  LDPC的BF算法,用matlab语言编写 的程序。

基于matlab仿真的四阶椭圆滤波器的仿真，其原理是基于切比雪夫滤波器的传递函数进行推导得来的(Matlab simulation based on fourth-order elliptic filter simulation, the principle is based on Chebyshev filter transfer function is derived come)

ASK modulation using matlab

trainig neural networks