AP

This book is about some examples of simulating DSP with Matlab

THIS DOCUMENT CONTAINS A MATLAB TUTORIAL WICH CONTAINS MANY FUNCTION

本章有三个目的：一是讲述 MATLAB正常运行所必须具备的基础条件；二是简明地介 绍MATLAB及其操作桌面Desktop的基本使用方法；三是全面介绍 MATLAB的帮助系统。 本章的前两节讲述：MATLAB的正确安装方法和 MATLAB 环境的启动。因为指令窗 是MATLAB最重要的操作界面，所以本章用第 1.3 、1.4 两节以最简单通俗的叙述、算例 讲述指令窗的基本操作方法和规则。这部分内容几乎对MATLAB各种版本都适用。第1.5 到第1.8 节专门介绍 MATLAB最常用的另五个交互界面：历史指令窗、当前目录浏览器、 工作空间浏览器、数组编辑器、M 文件编辑器。 鉴于实际应用中，帮助信息和求助技能的 重要性。本章专设第1.9节专门叙述MATLAB的帮助体系和求助方法。 作者建议：不管读者此前是否使用过MATLAB，都不要忽略本章。(This chapter has three purposes: one is about MATLAB normal operation must have the basic conditions 2 it is concisely interface Salt MATLAB and its operation is the basic way of using the Desktop Desktop Three is a comprehensive introduction of MATLAB help system. About the first two sections in this chapter: MATLAB installation method and the MATLAB environment right start. Because the instructions window Is the most important interface of MATLAB, so this chapter with 1.3 and 1.3 two accounts in the most simple and popular, example Basic operation methods and rules about command window. This part of almost all versions of MATLAB. 1.5 To section 1.8 on another five interfaces: the most commonly used MATLAB command window, the current directory browser history, The workspace browser, array editor, M file editor. In view of practical applications, the help information and skills for help Importance. Set up in section 1.9 of this chapter specifically address the MATLAB help syst)

多用户检测的三种子空间方法的仿真对比的是误码率-信噪比性能(Third seed space simulation comparison of multiuser detection method is BER- SNR performance)

matlab 读取数据并显示激光扫描的3D图形(matlab program)

说明：  S变换的源程序,具有很好的时频解析功能，处理非平稳信号的有力武器(S transform source code, a powerful weapon to have good time-frequency analysis, processing non-stationary signals)

数字滤波器设计程序，该程序可以展现滤波器的功能，可以让你更好的理解滤波器(Laboratory Exercise 6 DIGITAL FILTER STRUCTURES )

Optimization toolbox

第二代Contourlet工具包，处理去噪，压缩，分割效果很好，是应用的热点。Matlab语言的(Contourlet Kit second generation, processing denoising, compression, segmentation works well, is the application of the hot spots. Matlab language)

matlab source code for speaker recogntion