air_sea

四元数傅里叶变换代码，四元数在图像上的应用(quaternion fourier transform)

在小波分析及其变换中，Hurst指数的Matlab实现(Wavelet analysis and transformation, Hurst exponent of Matlab achieve)

说明：  一些例题是m源代码，供大家参考与学习，希望对大家有所帮助。(Some examples are m source code for reference and learning, we want to help.)

几何布朗运动的Monte Carlo模拟以及美式期权定价(Geometric Brownian motion of the Monte Carlo simulation as well as the American option pricing)

说明：  Matlab从入门到精通中所有的源程序。(Matlab from entry to master all of the source.)

扩频系统中的调频扩频程序。调频扩频信号的产生和检测(FM spread spectrum spread spectrum system procedures. FM spread spectrum signal generation and detection)

在VISUAL C++ 6.0编译器环境下，实现MATLAB中COM组件的开发。(In VISUAL C++ 6.0 compiler environment, to achieve the development of MATLAB, COM components.)

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.)

说明：  基于matlab对不等式约束的内点惩罚函数，(Penalty function based on matlab point within inequality constraints,)

PeMAQ16 error probability for 16qam modulation