MATLAB在小波理论学习中的应用  

Application of MATLAB in Learning of Wavelet Theory

作　　者：王鑫[1] 

机构地区：[1]江南大学物联网工程学院

出　　处：《中国教育技术装备》2010年第33期150-151,共2页China Educational Technology & Equipment

摘　　要：在信号分析领域,与一些经典技术相比,小波变换提供了关于信号数据的更加准确的信息。小波工具箱是在MATLAB技术计算环境基础上建立的一个与小波有关的函数的集合,它提供了在MATALB框架内使用小波和小波包进行信号和图像的分析与综合的工具。为了有助于充分利用该工具箱,也为了介绍商业科学软件的开发理念,在深入分析其目录结构和源代码的基础上,研究该工具箱的体系结构和实现技术。In the field of signal analysis, wavelet transform provides more precise information about the signal data than some classic techniques. Wavelet toolbox is a set of functions related to wavelet, which are based on the MATLAB technical computing environment. It provides tools for the analysis and synthesis of signals and images in the MATLAB framework. In order to take full advantage of the toolbox and to introduce the development philosophy of commercial scientific software, the architecture and implementation of wavelet toolbox are studied by analyzing its directory structures and source codes.

关 键 词：小波工具箱 小波滤波器 面向对象编程 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]