[1]邵婷婷,白宗文,周美丽. 基于离散小波变换的信号分解与重构[J].计算机技术与发展,2014,24(11):159-161.
　SHAO Ting-ting,BAI Zong-wen,ZHOU Mei-li. Decomposition and Reconstruction of Signal Based on DWT[J].,2014,24(11):159-161.
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 基于离散小波变换的信号分解与重构()
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《计算机技术与发展》[ISSN:1006-6977/CN:61-1281/TN]

卷:
24
期数:
2014年11期
页码:
159-161
栏目:
智能、算法、系统工程
出版日期:
2014-11-10

文章信息/Info

Title:
 Decomposition and Reconstruction of Signal Based on DWT
文章编号:
1673-629X（2014）11-0001-04
作者:
 邵婷婷; 白宗文; 周美丽
 延安大学 物理与电子信息学院
Author(s):
 SHAO Ting-ting; BAI Zong-wen; ZHOU Mei-li
关键词:
 ; 离散小波变换; MATLAB ; 分解; 重构
Keywords:
 ; Discrete Wavelet Transform (DWT) ; MATLAB; decomposition; reconstruction
分类号:
TP391
文献标志码:
A
摘要:
 为数值计算简化和理论分析简便，在实际信号处理应用中，需要对小波变换进行离散化处理。介绍了傅里叶变换与小波变换的基本理论，以及离散小波变换在信号分解和重构过程中的原理及方法。利用MATLAB小波工具箱中提供的函数分别对一维信号和语音信号进行分解与完全重构，并对结果进行分析比较。仿真结果表明，用离散小波变换进行一维和语音信号分解时均可有效地获取其平均相似信息和细节信息，重构信号与原始信号相比损失较少，分解和重构均得到了很好的效果。
Abstract:
 To simplify numerical calculation and theoretical analysis,wavelet transform needs to be discrete in practical application. The basic theory of Fourier transform and wavelet transform,the principle and method of signal decomposition and reconstruction based on Discrete Wavelet Transform (DWT) is introduced. Using the functions of MATLAB wavelet toolbox,the one-dimensional signal and speech signal are decomposed and perfectly reconstructed,and the analysis comparison is also made. The simulation results show that u-sing DWT can gain good results,when to decompose,the average similarity and detail information can be acquired effectively,and the re-construct signal loses little compared with the original signal.

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更新日期/Last Update: 2015-04-14