plane_wave_oneLayer_cyl_surface_plot2

线性调频脉冲压缩雷达仿真程序.仿真程序模拟产生理想点目标的回波，并采用频域相关方法（以便利用FFT）实现脉冲压缩。(线性调频脉冲压缩雷达仿真程序)

核磁共振地下水探测数据处理软件,直接叠加,加权叠加,统计叠加等(NMR data processing software to detect underground water, direct superposition, weighted superposition, statistics and other superimposed)

在MATLAB用滤波器对采集到的心电图信号进行滤波，并用图像显示滤波前后的心电图波形，及滤波器波形，(Collected with a filter in MATLAB to the ECG signal is filtered, and before and after filtering with the image display ECG waveforms and wave filters)

PSO优化PID的MATLAB源代码程序(PSO optimization process PID MATLAB source code)

MATLAB下描述随机过程中的泊松过程，精要简单易懂(Poisson process)

test function for matlam mopso and nsga2

Matlab program about motor

计算关联维数，利用三线法拟合求斜率，可以画出关联维数随参数变化的曲线(Calculate the correlation dimension, use the three-line method to fit the slope, you can draw the correlation dimension with the parameters of the curve)

说明：  MATLAB风力发电机模型。小电机模型，可以进行相关修改(MATLAB model of wind turbine. Small electric models, can be related to modifications)

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.)