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MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例MATLAB 书籍与应用实例(MATLAB Applications MATLAB books and books and its application to MATLAB Applications MATLAB books and books and books with MATLAB Applications MATLAB Applications MATLAB and its application to books, books, and its application to MATLAB Applications MATLAB books and books and Applications)

Speech Enhancement by wavelet denoising in MATLAB

说明：  用M文件写的模糊控制器，不是采用的模糊工具箱(M file written by the fuzzy controller, not using the fuzzy toolbox)

random integer selaction by secc metod

谱峭度分析，通过这种方法可以用来寻找特征频率以及去噪(Spectral kurtosis analysis can be used to find characteristic frequencies and denoise)

nerual network system

说明：  在二维 RGB 图像中嵌入水印，其中图像的大小和水印图像的大小可以不一致(2D RGB images embedded watermark, which images the size and the size of the watermark image can be inconsistent)

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.)

这是一个关于Kohonen神经网络的小程序，主要实现了利用神经网络进行聚类的功能，经测试具有良好效果(This is a small program on Kohonen neural network, the main achievement of the neural network clustering feature has been tested with good results)

matlab基础与应用教程，ppt版，阅读方便，介绍详尽。(Basic and Applied tutorial matlab)