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This book is intended for anyone trying to learn the fundamentals of computer programming. The chapters lead the reader through the various steps required for writing a program, introducing the MATLABr constructs in the process. MATLABr is used to teach programming because it has a simple programming environment. It has a low initial overhead which allows the novice programmer to begin programming immediately and allows the users to easily debug their programs. This is especially useful for people who have a “mental block” about computers. Although MATLABr is a high-level language and interactive environment that enables the user to perform computationally intensive tasks faster than with traditional programming languages such as C, C++, and Fortran, the author shows that it can also be used as a programming learning tool for novices. There are a number of exercises at the end of each chapter which should help the users become comfortable with the language.

matlab可以方便地实现付利叶变换，为了在vc中实现这样的精度，有次程序。(matlab can easily achieve profits Fourier transform, in order to achieve vc such precision, there are times procedures.)

说明：  光波分析仪,不知道是用在那里的啊!请告诉我啊!(Lightwave Analyzer, do not know is there ah! Please tell me ah!)

Recursive least square algorithm

CLOSED BOOT CONVERTER

matlab 提取 txt点云的边界，(txt point cloud boundary extraction Matlab,)

异步电动机反接制动，与陈伯时电机拖动课程内容相似(Asynchronous motor reverse braking Emulator)

这个是用于两类的带有类别的数据的线性分类器，是结构体类型如下判别 y(i) = 1 if W *X(:,i) + b >= 0 2 if W *X(:,i) + b < 0(his function classifies input data X using linear discriminant function: y(i) = argmax W(:,y) *X(:,i)+ b(y) y where parameters W [dim x nfun] and b [1 x nfun] are given in model and nfun is number of discriminant functions. In the binary case (nfun=1) the classification rule is following y(i) = 1 if W *X(:,i)+ b >= 0 2 if W *X(:,i)+ b < 0)

This is a matlab code for drawing EXIT chart. This is a chart that is used for performance evaluation in different coding and decoding techniques. This is an mfile.

应用KNN算法解决0到9的手写数字识别问题，效果在90 以上，内部有两个数据集，一个为训练集（7291个数据），一个为测试数据（2791个数据），程序采用MATLAB编写，另附有文档，程序简洁易懂(Application KNN algorithm to solve 0-9 handwritten digit recognition problem, the effect is more than 90 , the inside has two data sets, one for the training set (7291 data), a test data (2791 data), the program written using MATLAB , attached a document, the program is simple and easy to understand)