zhiliudianjitiaosuxitongmohukongzhidejianmo

图形的透视演示,两个圆，外面一个镂空，投射里面一个圆。(Presentation graphics perspective, the two round, outside a stencil, projection inside a circle.)

此为牛顿与拉格朗日插值算法的matlab程序，参照数值分析教程的公式编写，确定可用。(This is Newton and Lagrange interpolation algorithm matlab program, refer to numerical analysis tutorial to prepare the formula to determine the available.)

direct torque control of induction machine

matlab source code for adaptive threshold

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.)

matlab实现费希尔法（fisher法）实现对样本的分类，上载的是txt文本文档。(matlab in fisher sorting)

对信号进行小波变换，得到小波系数和逼近系数，求出各个频率段的能量（能量=小波系数的平方和(wavelet transform)

HILBERT-HUANG TANSFORM 进行曲线拟和时求信号极大极小值的两种方法(SYSTEMS-CSF TANSFORM for curve fitting and time for signal minimax Two methods)

基于相位阵列，可以生产任意数量的独立波束。(Phased Array demo.You can generate any number of independent beams, each one with its own direction and focalization.)

About Applications of XRD