suijishu

说明：  MATLAB的顶级教程，详细讲解了重要的知识点和函数应用方法(Top-level MATLAB tutorial explain in detail the important function of the knowledge points and application methods)

RBF 神经网络用于模式分类 RBF 神经网络用于函数拟合　(RBF neural network for pattern classification RBF neural network for function fitting)

移动通信中信道仿真研究，使无线信号传输具有信道参考性。(Simulation Study of Mobile Communication CITIC Road, so that the wireless signal transmission with a channel referential.)

模拟出一个雷达的线性调频信号的波形，给出其频谱图(Simulate a radar LFM waveform, give its spectrum)

模糊神经网络逼近二维非线性函数，我自己编译的程序，希望大家喜欢(Fuzzy neural network approach to two-dimensional nonlinear function)

该MATLAB程序为冗余七自由度自由漂浮空间机器人运动学模型(The MATLAB program is a kinematic model of a redundant 7 DOF free-floating space robot)

说明：  利用MATLAB进行飞行器四自由度仿真。(Four degrees of freedom for vehicle using MATLAB simulation.)

simulink基础经典教程,适用于工程应用，讲解非常详细。(introduction to simulink with engineering application)

这是关于信道容量的迭代算法，算法思想来自信息论(This is about the channel capacity of the iterative algorithm with ideas from information theory)

SWTEST Shapiro-Wilk parametric hypothesis test of composite normality. [H, pValue, SWstatistic] = SWTEST(X, ALPHA, TAIL) performs the Shapiro-Wilk test to determine if the null hypothesis of composite normality is a reasonable assumption regarding the population distribution of a random sample X. The desired significance level, ALPHA, is an optional scalar input (default = 0.05). TAIL indicates the type of test (default = 1).