rsr_model

It provides some examples in numerical analysis using Matlab like solving polinomies, solution on nonlinear equations, etc.

说明：  matlab 下神经网路的经典应用，非常直白，浅显易懂，值得下载(Matlab Neural Network classic application, very straightforward, simple to understand, it s worth downloading)

eof分解用的函数，说明如下：function [EOF,PC,F,diff]=EOFcgx(X) EOF分解。Xm*n 空间数据维数m，n为时间采样点 返回值EOF为空间模态,PC为时间模态。第一空间模态EOF(:,1),第一时间模态PC(1,:) 返回值F为特征值，diff为误差 (eof decomposition function as follows: function [EOF, PC, F, diff] = EOFcgx (X) EOF decomposition. Xm* n spatial dimension m, n is the time of sampling points Returns the value EOF spatial modes, PC is the time modes. The first space modal EOF (:, 1), the first time the modal PC (1, :) Return value F for eigenvalues, diff for error )

一个有关AT88SC102卡读写方面的资料，电气性能介绍，读写时序等等方面的内容(A card reader on AT88SC102 information, electrical performance, presentations, read and write timing, etc., the contents of the)

An Introduction to Pattern Recognition: matlab approach

STBC-ofdm程序源文件，可以供初学者学习交流使用(STBC-ofdm program source files, can be used for beginners to learn to share their)

dct隐写技术matlab实现资料。算法原理：通过在一个图像块中调整两个DCT系数的相对大小，隐藏秘密信息。 将载体图像分为8×8的块，做二维DCT变换 用来表示选中的两个系数的坐标对于第i bit秘密信息 if（要隐藏信息‘1’） make else make 逆DCT变换，还原图像 (dct steganography matlab implementation information. Algorithm principle: an image block by adjusting the relative size of the two DCT coefficients, hidden secret information. The vector image is divided into 88 blocks, making two-dimensional DCT transform coefficients used to represent the coordinates of the selected two for the first i bit secret information if (to hide information ' 1 ' ) make else make the inverse DCT, restore image)

matlab随即图设计程序，应该比较有用，希望能申请会员成功吧。。(matlab then drawing design program)

5/10/15/20阶的语音信号LPC 预测及其功率谱，并绘制误差函数图像(5/10/15/20 LPC prediction order of the voice signal and the power spectrum, and the mapping of the image error function)

虚拟示波器,硬件基于NI系列AD采集卡,软件基于Matlab7.9(virtual oscilloscope hardware config: National Instrument A/D card software config: Matlab 2009以上版本)