tiduxiajiang

实验内容 信号与系统试验报告 自己的作业 1.设有两个信号： 要求x(t)和h(t)采样形成离散序列， 参数选择如下： 采样率Δ=4ms， 频率f=30Hz， a=2f2ln(M), M=2.5 在MATLAB下实现连续信号离散化， 并绘制出离散形式的信号波形。 (Experimental signal and system test the contents of the report of one)

SMI读写数据程序，可实现读写寄存器里的数据(SMI program to read and write data, you can read and write data register)

学习matlab的优秀资料，认真研究学习，读者可以从中获得启发，对matlab的学习具有很强的学习意义。(Learning matlab excellent information, serious research study, the reader can derive inspiration, has a strong sense of learning for learning matlab.)

说明：  实验一：基于LMS算法的“苹果-橘子”分类问题 实验二：基于LMS算法的T-G-F字符识别问题 通过以上两个实验，了解ADALINE网络的结构及计算机制，掌握LMS算法，并会利用该算法来解决简单的模式分类问题。1， 学习ADALINE网络的基本结构及其学习机制，并在Matlab中实现 2， 分别对上述两类分类问题进行实现，并根据实验结果完成实验报告 (Experiment 1: Based on LMS Algorithm Apple- Orange classification issues Experiment two: TGF-based character recognition problem LMS algorithm Through the above two experiments to understand the structure and computer network system ADALINE, master LMS algorithm, and will use the algorithms to solve simple pattern classification problem. 1, learn the basic structure and learning mechanism ADALINE network and to achieve in Matlab 2, respectively, for these two types of classification problems were implemented and completed in accordance with the experimental results of test report)

在matlab环境下的一个朴素贝叶斯分类器，大家可以参考下(Matlab environment a Naive Bayes classifier, we can refer to the following)

MATLAB的用户图像界面（GUI）（源码可见），可直接运行，依次为打开原图-三分图开输出alpha图，接着打开背景图可合成新图像(MATLAB user graphical interface (GUI) (source visible), can be directly run, followed by open the original- plans to open three-point output alpha map, and then open a new background image can be synthesized)

emd，eemd以及去噪性能指标的一些函数(Some functions of EMD, EEMD and denoising performance index)

mathews数值分析书的源代码，用matlab编写，第一章第九部分。(mathews numerical analysis of the book' s source code, using matlab, the ninth part of the first chapter.)

matlaba的图像匹配，进行图像的处理。(matlaba image matching, image processing.)

轨迹跟踪轨迹跟踪轨迹跟踪轨迹跟踪trajectorytrajectory(trajectory trajectory trajectory)