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这是基于PCA的人脸识别，用MATLAB编写，包含了K-L变换，奇异值分解等方法，且采用了最小距离分类器(This is based on the PCA face recognition, using MATLAB to prepare, including the KL transform, singular value decomposition and other methods, and the use of the minimum distance classifier)

Neural Network with multiple inputs and multiple output with training data in file name Twod is trained using steepest descent algorithm.After training data ,we can test a new set of data

这是余成波的一本关于 数字图像处理与MATLAB实现的书。有需要的看看(This is the one about Yucheng Bo digital image processing and MATLAB realization of the book. There needs to look at)

线性调频信号，包括产生和脉冲压缩，国科大资料(Chirp signal, the National Science and Technology Institute of China)

用s函数编写的异步电机的仿真模型，与模块搭建的相比，该模型简单可靠，不易出错(S function is written using the simulation model of induction motor, compared with the module structure of the model is simple and reliable, less prone to errors)

This document is about power switched reluctance motor.

通过BP网络实现对非线性函数（正弦函数）的逼近。函数比较短，很简练。(Through the BP network for the nonlinear function (sine function) approximation. Function relatively short and very concise.)

Book theory of informatoin. It will be important for you.

小脑模型是一种表达复杂非线性函数的表格查询自适应神经网络，此列例举了用于非线性函数逼近(CMAC is a complex nonlinear function of the expression of the form query adaptive neural network, this column cites for nonlinear function approximation)

是一个主成份分析的初学文章写的很好的可以学习很多东西(Principal component analysis is an article written by the beginner can learn a lot of good things)