FPGAVHDL

MATLAB自己做的 好像有点问题 希望朋友们帮忙解决一下(matlab)

包括自适应信道均衡器的三种算法和它们的对比：LMS,NLMS,RLS (adaptive channel equalization ：LMS,NLMS,RLS)

多变量预测控制，运用于两输入两输出的情况，显示输入输出。(Multivariable predictive control, applied to the case of two-input two outputs, display input and output.)

光纤耦合器中光孤子传输的仿真研究，计算物理实习，很不错的。（转）(Fiber Coupler Simulation of optical soliton transmission, computational physics internships, very good. (Rpm))

AMRA建模，主要包括平稳化，判断阶数，建立模型，利用模型进行预测(ARMA modeling beginner when used, including smoothing determine the order is appropriate, modeling, prediction)

.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.)

改程序可用于模拟凝固，再结晶，塑性变形微观组织演化(cellular compute_wait)

云模型matlab程序设计，包含例子，只需修改数据。(Cloud model Matlab programming, including examples, only need to modify the data.)

this project of analysis character optimization and code in matlab

混沌时间序列分析与预测工具箱，包括了混沌时间序列分析的很多方法和预测方法(Prediction is a kind of dynamic filtering, in which past values of one or more time series are used to predict future values. Dynamic neural networks, which include tapped delay lines are used for nonlinear filtering and prediction.)