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generating all types of signals matlab source code

包括手写文字识别的各个步骤，图像的预处理、裁剪、大小转换、人工神经网络训练和识别等等。(Handwritten character recognition, including the various steps, image preprocessing, cropping, size, conversion, training and recognition of artificial neural networks and so on.)

说明：  数字图像处理及matlab实现数字图像处理及matlab实现(Digital image processing and digital image processing matlab and matlab to achieve)

实现用里程计简单定位，分为直线和曲线定位。(To odometer simple positioning, and is divided into straight lines and curves)

Model Reference Adaptive Control

此程序的功能是用自相关法求使信号s均方预测误差为最小的预测系数 (Feature of this program is to use the autocorrelation method for the signal s smallest mean squared prediction error of prediction coefficients)

两个噪声信号及噪声信号和含噪声周期信号的互功率谱。 采用多窗口法估计含有周期信号的功率谱。(The two noise signal and noise signal and noise periodic signal containing the cross-power spectrum. Multi-window method is estimated to contain periodic signal power spectrum.)

实现几十中案例开发，适合初学者的学习，能从中得到一个比较大的提高，从中也可以得到学习软件工具的乐趣。(Dozens of cases of the realization of development, suitable for beginners to learn, can be a big improvement from can also be fun learning software tools.)

此源码程序是自适应滤波中的RLS算法的应用。在MATLAB中对其收敛速度 输出就行了仿真(This procedure is source of RLS adaptive filtering algorithm applications. In MATLAB in the convergence rate of its output on the line simulation)

机器学习中的垃圾邮件分类程序，用matlab做的。从以下链接下载垃圾邮件数据（spam data）：(数据已下载，放在spambase.zip) http://www-stat.stanford.edu/~tibs/ElemStatLearn/index.html 该数据包含57个邮件信息相关的变量，每条邮件可以被分类为垃圾邮件（Y=1）和非垃圾邮件（Y=0）。输出Y的值在文件中每一列的末尾。练习的目标是要预测电子邮件是否为垃圾邮件。 (Machine Learning spam classification procedures, using matlab to do. Data (spam data) from the following link to download the junk mail: (data has been downloaded, put spambase.zip) http://www-stat.stanford.edu/ ~ tibs/ElemStatLearn/index.html The data includes 57 e-mail messages related variables, each message can be classified as spam (Y = 1) and non-spam (Y = 0). Y value of the output end of each column in the file. The goal is to predict exercise email is spam.)