decomposition_for_Matrix

近红外光谱分析中的BP模型建立过程，其中在原有BP神经网络模型的基础上自己编程加入了近红外模型验证系数的计算，如R-SquareC.R-SquareP,RMSEC,RMSEP,RSD等。并加入循环语句，设定区间程序可以自动运行并判断最佳隐含层结点数，最佳学习速率，动量因子，训练次数等，同时加入一个验证校正模型实例。(The process of BP model in near infrared spectrum analysis, including the original BP neural network model on the basis of their programming joined the nir model validation coefficient calculation, such as R- SquareC. R- SquareP, RMSEC, RMSEP, RSD, etc. And join the loop statement, set interval program can be run automatically and determine the best hidden layer nodes, the optimal learning rate, momentum factor, the number of training, etc. )

说明：  this is haar wavelet coding

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matlab 神经网络工具箱 gaot 所有的文件 直接放到matlab 路径 toolsbox 下就行(matlab neural network toolbox gaot all the files on the line directly into the the matlab path toolsbox under)

matlab开发环境下进行动画显示的相关函数集合，对学习动画显示有较大帮助(matlab animation development environment for the correlation function of the collection, to learn the animation show a greater help)

matlab s函数（s-Function）编写的离散状态空间表达式(matlab s function (s-Function) written in discrete state space representation)

Histogram Equalization

这是随即信号处理中的有关应用，是一个脉冲多普勒雷达的matlab 仿真(This is the aplication of random signal )

本程序主要是利用利用语音信号的基本特性进行谱熵端点检测(taep end detection)

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