Mathematical_modelling

以13位barker为二相编码信号的时间模糊函数图的仿真(13 barker for the time of the two-phase encoded signals fuzzy function simulation)

说明：  利用matlab软件和fdtd方法来算三维结构的程序(Matlab software and the use of FDTD method to count the three-dimensional structure of the procedures)

这是个卡尔曼滤波的递推程序，是用MATLAB实现的，很有用出的，希望对大家有所帮助(This is a recursive procedure of Calman filter is implemented in MATLAB, a useful, and they hope to help everyone)

指派问题整数规划,matlab程序，拟分配n 人去干n 项工作，每人干且仅干一项工作，若分配第i 人去干第j项工作，需花费c（i，j） 单位时间，问应如何分配工作才能使工人花费的总时间最少？(Assigned integer programming problem)

MAP CODE DouBinTurboEncode

对原始信号进行四相相移键控调制，然后加入高斯白噪声，对加噪信号进行解调，对比解调信号与原始信号，计算误码率(The original signal quadrature phase shift keying modulation, and then adding Gaussian white noise, plus noise signal is demodulated, comparing the demodulated signal with the original signal, bit error rate calculation)

Viscous flow in a pipe

eBook • How RFID works, how it’s used, and who is using it. • The history of RFID technology, the current state of the art, and where RFID is expected to be taken in the future. • The role of middleware software to route data between the RFID network and the information technology (IT) systems within an organization. • The use of RFID technology in both commercial and government applications. • The role and value of RFID industry standards and the current regulatory compliance environment. • The issues faced by the public and industry regarding the wide-scale deployment of RFID technology.

多个神经元分类，又称模式联想。对如下输入、输出样本进行分类。要求用MATLAB画出最后的线形图。 p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0 -0.3 -0.5 -1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8 -1.5 -1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1](Multiple neurons classification, lenovo is also called the mode.Classify the following input and output sample.The last line diagram to use MATLAB to draw. p=[0.1 0.7 0.8 0.8 1.0 0.3 0.0-0.3-0.5-1.5 1.2 1.8 1.6 0.6 0.8 0.5 0.2 0.8-1.5-1.3] t=[1 1 1 0 0 1 1 1 0 0 0 0 0 0 0 1 1 1 1 1])

模型辨识 模糊神经网络 T-S模型 输入输出 隶属度函数(Model Identification of TS Fuzzy Neural Network model input and output membership function)