FastICA_2.5.tar

in this folder we simulate the system of lorenz, vanderpol

系统辨识的最小二乘辨识法，能辨识传递函数(Least squares identification system identification method can identify the transfer function)

8QAM调制，MATLAB，有完整的星座图，详细的源代码，完整的框图(8QAM modulation, MATLAB, a complete constellation, detailed source code, complete block diagram)

最优控制内容，关于找到最优解的问题：主要是对极小值原理、动态规划、线性二次型的应用。(Find the optimal solution for the problem，about minimum principle, dynamic programming, linear quadratic applications)

文档内为差分方程的MATLAB详细程序说明(Differential equations within the document detailed description of the procedures MATLAB)

Chapter 2. The Solution of Nonlinear Equations f(x) = 0 Algorithm 2.1 Fixed Point Iteration Algorithm 2.2 Bisection Method Algorithm 2.3 False position or Regula Falsi Method Algorithm 2.4 Approximate Location of Roots Algorithm 2.5 Newton-Raphson Iteration Algorithm 2.6 Secant Method Algorithm 2.7 Steffensen s Acceleration Algorithm 2.8 Muller s Method Algorithm 2.9 Nonlinear Seidel Iteration Algorithm 2.10 Newton-Raphson Method in 2-Dimensions

Simulink动态系统建模与仿真基础 李颖等编.pdf 精通simulink系统仿真与控制.pdf(A very useful tool SIMULINK simulation)

mm1仿真模型代码,实现排队理论的模拟。可设置队列长度，泊松过程到达强度，服务率，排队人数， 得到平均队列长度等参数。(network simulation code for MM1 model. Flexiable model for queueing theory study.)

小波变换下的信噪比提高,运行结果是3张图，两段语音，效果较为明显(Improved SNR under the wavelet transform)

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, ( The debugging uses the Matlab edition is 6.5, gatbx-toolbox debugs the toolbox which in the process uses, somewhat warm-hearted ground the friend already to provide this toolbox, the reason that pasted again, was because under 6.5 editions debugged this toolbox to be able to present some wrong prompts, had already carried on the correction in this edition, will use this toolbox only to need to compress package of under gatbx and gatbx Test_fns joins to the Matlab search path then, moreover gatbx-origin was the primitive edition toolbox which the Sheffield university provided, has not made any modification, both might make the comparison are the example debugging sound code and various examples debugging explained with 3.gatbx-example, everybody might compare the original bookCarries on comparison 4. in my opinion under the gatbx toolbox s to be able to let the human compared with Matlab7 update gads toolbox be familiar with the understanding genetic algorithm principle and)