16QAMpics

说明：  MATLAB常用的函数说明，对于初学者很有用(MATLAB)

该代码为带动量项的PID神经网络的系统控制算法(The code to drive the amount of items PID neural network system control algorithm)

matlab matlab matlab matlab matlab函数(matlab matlab matlab matlab matlab function)

利用反馈控制可以将洛伦兹系统控制到任意状态(control Lorenz system to arbitrary state using feedback control)

是一种双隐层反向传播神经网络，用MATLAB实现动态聚类或迭代自组织数据分析，可实现对二维数据的聚类，一种流形学习算法（很好用），关于神经网络控制，虚拟力的无线传感网络覆盖，pwm整流器的建模仿真。( Is a two hidden layer back propagation neural network, Using MATLAB dynamic clustering or iterative self-organizing data analysis, Can realize the two-dimensional data clustering, A fluid manifold learning algorithm (good use), On neural network control, Virtual power wireless sensor network coverage, Modeling and simulation pwm rectifie.)

说明：  基因算法求f(x）最小值 s.t. l <= x <= u(Gene Algorithm for Finding f (x) the minimum st l &lt = x &lt = u)

主要是是显示技术中的数值计算的范例程序，有长直接地金属槽等计算(Display technology in the numerical calculation)

The shuffled complex evolution with principal components analysis–University of California at Irvine (SP-UCI) method is a global optimization algorithm designed for high-dimensional and complex problems. It is based on the Shuffled Complex Evolution (SCE-UA) Method (by Dr. Qingyun Duan et al.), but solves a serious problem in searching over high-dimensional spaces," population degeneration". The population degeneration problem refers to the phenomenon that, when searching over the highdimensional parameter spaces, the population of the searching particles is very likely to collapse into a subspace of the parameter space, therefore losing the capability of exploring the entire parameter space. In addition, the SP-UCI method also combines the strength of shuffled complex, the Nelder-Mead simplex, and mutinormal resampling to achieve efficient and effective high-dimensional optimization.

这些程序是可以用来进行信道估计的，个人觉得对于那些刚刚研究MIMO 的人是很有帮助的(These procedures can be used for channel estimation, the individual feels for those who just study is very helpful MIMO)

数据EOF分析，海洋气象常用。将长时间，多空间点数据分解成时间序列和空间序列。进行数据的时空分析。(Used for EOF analyse)