一种有效的分段光滑信号逼近方法

doi:10.3969/j.issn.0372-2112.2016.08.033

电子学报 ›› 2016, Vol. 44 ›› Issue (8): 2004-2008.DOI: 10.3969/j.issn.0372-2112.2016.08.033

一种有效的分段光滑信号逼近方法

陈伟

江南大学数字媒体学院, 江苏无锡 214122

收稿日期:2015-06-15 修回日期:2015-12-28 出版日期:2016-08-25
- 作者简介:
- 陈伟男,1986年1月出生于江苏省宝应县.2013年获得澳门科技大学理学博士学位,现为江南大学数字媒体学院讲师,主要研究兴趣为小波分析和计算机图形学.E-mail:wchen_jdsm@163.com
- 基金资助:
- 国家自然科学基金 (No.61170320，No.61272026）; 浙江大学CAD&CG国家重点实验室开放课题 (No.A1513，No.A1609）; 中央高校基本科研业务费 (No.JUSRP11416）

An Efficient Approximation Method for Piecewise Smooth Signal

CHEN Wei

School of Digital Media, Jiangnan University, Wuxi, Jiangsu 214122, China

Received:2015-06-15 Revised:2015-12-28 Online:2016-08-25 Published:2016-08-25

摘要/Abstract

摘要： 传统的Fourier变换，连续小波变换等方法在逼近具有分段光滑特性的非连续信号时，因Gibbs现象的干扰会产生比较大的误差.本文提出了一种有效的分段光滑信号逼近方法.首先根据给定信号的分段点位置，构造一组标准正交分段多项式系，该函数系具有正交性，收敛性及再生性.然后将信号在该函数系下进行正交分解及重构，即可得到该信号的最佳平方逼近结果.数值实验表明，本文方法比传统的正交基具有更好的逼近结果.

关键词: 分段光滑信号, 逼近, Gibbs现象, 正交表达

Abstract: The truncating Fourier and continue wavelet representation of a discontinuous piecewise smooth signal will introduce an unneglectable error which was named as the Gibbs phenomenon. In this paper, we proposed an effective piecewise smooth signal approximation method. Firstly, a set of normal orthogonal piecewise polynomials was constructed according to the given positions of breaking points, and it has the properties of orthogonality, convergence and reproduction. Then the signal was orthogonal decomposed under this basis and the best square approximation result could be obtained using reconstruction. The numerical experiments show that our method have the higher accuracy approximation results than the other basis.

Key words: piecewise smooth signal, approximation, Gibbs phenomenon, orthogonal representation

中图分类号:

TP302.4

陈伟. 一种有效的分段光滑信号逼近方法[J]. 电子学报, 2016, 44(8): 2004-2008.

CHEN Wei. An Efficient Approximation Method for Piecewise Smooth Signal[J]. Acta Electronica Sinica, 2016, 44(8): 2004-2008.

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一种有效的分段光滑信号逼近方法

An Efficient Approximation Method for Piecewise Smooth Signal

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