MATLAB-demystify

柯斯达斯实现载波恢复costas m-file (costas m-file costas m-file )

雨流法的matlab程序 可用于疲劳计算，适用于机械和相关行业(Rainflow matlab program can be used for fatigue calculation for machinery and related industries)

不适用matlab自带滤波器函数的fir低通滤波器设计( low-pass filter )

说明：  硕士论文，主要讲解应用QAM系统的盲均衡自适应算法的仿真及FPGA实现。(Master s thesis about blind Equalization for QAM systems)

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.)

这个是对一个一维信号的Excel数据加载进matlab程序，然后进行巴特沃斯的低通滤波。(This is a one-dimensional signal of Excel data is loaded into the matlab program, and then Butterworth low-pass filtering.)

K近邻分类的Matlab算法，简单，适合初学，验证可用(KNN )

离散正交小波变换、逆离散正交小波变换、冗余离散小波变换、(Discrete orthogonal wavelet transform, inverse discrete orthogonal wavelet transform, redundant discrete wavelet transform,)

还不错的程序 提取特征值的方式 需要的可以试试(the code for value)

这是关于matlab的波束域形成程序 喜欢的话请下载 谢谢支持(this is bo shu yu xing cheng dai ma )