rad_pat

说明：  FIR编程实现演示范例，有利于初学者迅速学会并使用相关知识(FIR Demo programming paradigm is conducive to beginners quickly learn and use knowledge)

Jackknife距离的matlab实现，短小精悍，矩阵运算的小技巧。附有数据(Jackknife distance MATLAB, dapper, little skill matrix.Attached data)

这是我毕设做自动调焦仿真实验时，编写的自动调焦函数的Matlab代码，把基于灰度梯度的调焦函数都仿真了(This is what I do complete auto-focus based simulation experiments, the preparation of the automatic focusing function of the Matlab code, the gray gradient-based simulation of the focusing functions)

基于Hopfield神经网络对符号进行识别。 根据符号点阵创建并训练网络，使网络达到稳定状态，用随机带噪声的符号测试训练的网络。 (Hopfield neural network based recognition of symbols. Lattice under the symbol creation and training network, the network reaches a steady state, the symbol of random noise test with the training network.)

说明：  提供了在Matlab中如何进行流场的动态模拟.通过这个是提供给想用Matlab作动态模拟的人一个思路(Matlab provides the flow field in how to carry out the dynamic simulation. Through this is to provide to want to use Matlab for dynamic simulation of a thinking person)

说明：  基于MATLAB的混合型蚁群算法求解旅行商问题.pdf(MATLAB-based hybrid ant colony algorithm for solving traveling salesman problem. Pdf)

该文件夹为Alamouti空时码的仿真程序，天线配置为4发2收,与大家共享。(folder for the ACS code of space-time simulation program, antenna configuration for four 2 admission. and share.)

本代码实现了通过模糊控制进行倒车的例子，可以完美运行，是智能控制方面学习的好资料。(The code examples performed by reversing the fuzzy control, can perfectly run, is good information intelligent control aspects of learning.)

P_I_Kattan著、韩来彬译《MATLAB有限元分析与应用》一书的电子版及涉及的75个用MATLAB编写的有限元程序和所有习题的解答，是学习MATLAB和有限元的很好资料(P_I_Kattan with South Korea to Bin translation of " MATLAB finite element analysis and applications" , and an electronic version of the book involved in the preparation of 75 using MATLAB finite element program and all the Exercise of the answer is to learn a good MATLAB and finite element data)

BP-神经网络 The neural network is trained with the Levenberg-Marquardt algorithm. The activation functions can be either linear ( L ) or hyperbolic tangent ( H ).(Backpropagation neural network with one hidden layer for multivariate calibration. (Designed to model only one response y at a time) )