Shape-Recognition

1.本书包含的实例所使用的源程序清单，文件夹第3章～第7章分别包括各章节内的实例源程序。 2.源程序文件名与所在章节和实例序号对应，如：3_1.m为第三章实例一【例3_1】的源程序。 3.文件夹tftoolbox为2002版的时频工具箱，第六章“非平稳信号分析与处理”需要用到该工 具箱的部分函数。请将其拷贝到用户的MATLAB工作路径（如D:R2006awork） 4.各章节的M文件已在MATLAB R2006a环境下调试通过，拷贝到用户的MATLAB工作路径（如 D:R2006awork）下即可运行。(1. This book contains examples of source code used in the list of folders in Chapter 3 ~ Chapter 7, respectively, including the section within the source code examples. 2. Source file name and serial number where the corresponding chapters and examples, such as: 3_1.m for example Chapter 1 3_1】 【Example of the source. 3. Tftoolbox folder for the 2002 version of the Time-Frequency Toolbox, Chapter VI, " Non-stationary signal analysis and processing" required to use part of the toolbox functions. I would be grateful if a copy job to the user' s MATLAB path [such as D: R2006a work] 4. Of all sections of M are available at MATLAB R2006a debugging environment through, copy to the user' s job MATLAB path [such as D: R2006a work ] to run under.)

OFDM技术仿真,包括发射机和接收机代码(OFDM technology simulation, including transmitter and receiver code)

说明：  本文是关于小波分析的一段matlab编程代码，介绍了一些基本的方法(This article is a section on the wavelet analysis matlab programming code, and describes some of the basic methods)

Kernel Discriminant Analysis is a kernel extension of Linear Discriminant Analysis technique which is a well-known feature extraction technique.

GNU dsp模拟器，运行在Linux上，主要支持对TMS320C54X型号dsp的模拟。用matlab和c写成(Gnu Digital Signal Processor Simulator. The goal is to develop a DSP Simulator for Linux. The firstchip supported will be the TMS320C54x.)

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)

绘制单颗卫星、单架飞机的时延多普勒图形。(Plot DelayDoppler of single target.)

经验模式分解程序（matlab）可以对输入信号进行经验模式分解(Empirical mode decomposition process (matlab))

wind power systems with permanent magnet generator in matlab

Harris corner detection MATLAB CODE