example

说明：  经典MUSIC算法,WMUSIC算法,ROOT-MUSIC算法,BEAMFORMING-MUSIC-BS1算法的性能与信噪比的关系(Classical MUSIC algorithm, WMUSIC algorithm, ROOT-MUSIC algorithm, BEAMFORMING-MUSIC-BS1 algorithm performance and the relationship between SNR)

该程序是光纤通信系统中的本征值方程的matlab数值求解(The program is the matlab numerical solution of the eigenvalue equation in optical fiber communication systems)

一种IMC与PID组合控制的实现，提供matlab源码实现，及simulink实现。(IMC and PID.)

利用matlab程序对正交频分复用中的信道进行了模拟(Matlab program to use orthogonal frequency division multiplexing in the channel to simulate)

MATLAB 曲线拟合小工具，适合初学者，高手直接无视之( MATLAB M file for curve fitting )

利用遗传算法优化RBF神经网络的结构，包括优化权值、高斯基的中心和宽度(The use of genetic algorithm to optimize the structure of RBF neural network, including the right to optimize the value of the Gaussian center and width)

plsa（Probability Latent Semantic Analysis）源码(plsa (Probability Latent Semantic Analysis) Source)

计算地球上的椭球面的距离，输入两点的经纬度(Calculated on the earth ellipsoid distances, enter the latitude and longitude points)

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)

高速铁路路基沉降是一个复杂的系统过程,涉及不同时期、不同工况,选用单一的预测模型不足以反映路基整体的变形规律.Logistic模型及Verhulst模型的曲线均为S形,可以反映全过程的地基沉降与时间的关系.针对路基填筑期和降水期两个时段利用MATLAB软件编制程序计算模型参数,得到Logistic模型和灰色Verhulst模型,进而求得两者的最优加权组合模型.对比结果表明:在路基填筑期由两者的最优加权组合模型预测得到的结果与实测结果较吻合,拟合精度高于单一模型 而在降水期Verhulst模型的预测值更接近实测值,平均相对误差约为1.75％,拟合精度较高.(High-speed railway subgrade settlement process is a complex system involving different times and in different conditions, the choice of a single forecasting model does not adequately reflect the overall deformation of roadbed. Curve Logistic model and Verhulst models are S-shaped, the whole process can be reflected foundation settlement versus time. against roadbed construction period of two hours and precipitation using MATLAB software programming model parameters, the Logistic model and gray Verhulst model, and then get the optimal model of a weighted combination of the two. comparative results indicate : results and experimental results in the roadbed construction period by the weighted combination of the best of both models predicted than the anastomosis fitting accuracy than a single model precipitation predicted value of Verhulst model closer to the actual value of the average relative error approximately 1.75 fitting accuracy.)