Approximation of a Digital Signal Using Estimate Wavelet Transform

A. Yajnik
{"title":"Approximation of a Digital Signal Using Estimate Wavelet Transform","authors":"A. Yajnik","doi":"10.1109/ICCSA.2011.49","DOIUrl":null,"url":null,"abstract":"This article presents a general outline of the approximation of digital signal using Discrete Wavelet. The technique used in [1] is a new attitude to a multi resolution digital signal analysis by discrete wavelet transforms. This article demonstrates an approximation of a digital signal using Daubechies D4 wavelets. The present technique exhibits a revised procedure of removing distortion (loss) generated from the approximated double length digital signal presented in [1]. For highly nonlinear digital signal the technique of [1] fails to approximate the signal but the proposed revised technique can approximate the signal. The proposed method not only enables approximating digital signals in a better way but also it can approximate highly nonlinear digital signals. Moreover, the energy conservation is exactly double than the original signal which is not achieved by the approximation technique discussed in [1].","PeriodicalId":428638,"journal":{"name":"2011 International Conference on Computational Science and Its Applications","volume":"1 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2011-06-20","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"3","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"2011 International Conference on Computational Science and Its Applications","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1109/ICCSA.2011.49","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 3

Abstract

This article presents a general outline of the approximation of digital signal using Discrete Wavelet. The technique used in [1] is a new attitude to a multi resolution digital signal analysis by discrete wavelet transforms. This article demonstrates an approximation of a digital signal using Daubechies D4 wavelets. The present technique exhibits a revised procedure of removing distortion (loss) generated from the approximated double length digital signal presented in [1]. For highly nonlinear digital signal the technique of [1] fails to approximate the signal but the proposed revised technique can approximate the signal. The proposed method not only enables approximating digital signals in a better way but also it can approximate highly nonlinear digital signals. Moreover, the energy conservation is exactly double than the original signal which is not achieved by the approximation technique discussed in [1].
用估计小波变换逼近数字信号
本文概述了用离散小波逼近数字信号的方法。[1]采用的技术是对离散小波变换进行多分辨率数字信号分析的一种新方法。本文演示了使用Daubechies D4小波对数字信号的近似。本技术展示了一种修正的去除[1]中近似双长度数字信号产生的失真(损耗)的程序。对于高度非线性的数字信号,[1]技术不能近似信号,而改进后的[1]技术可以近似信号。该方法不仅可以较好地逼近数字信号,而且可以逼近高度非线性的数字信号。而且,与[1]中讨论的近似技术相比,该方法的能量守恒恰好是原始信号的两倍。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
求助全文
约1分钟内获得全文 求助全文
来源期刊
自引率
0.00%
发文量
0
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信