DocumentCode :
3245171
Title :
Studies of boundary problem based on wavelet series for a finite interval
Author :
Ma, Xiao-Jian
Author_Institution :
Sci. Coll., Northeast Forestry Univ., Harbin, China
fYear :
2012
fDate :
15-17 July 2012
Firstpage :
274
Lastpage :
278
Abstract :
Traditional Fourier analysis is applied to signal processing, but it often causes `jump´ at the edges. In this paper, a quantitative analysis of the `jump´ and a wavelet series construction method by folding and integral operator in the H1[0,1] space are introduced. Its good properties are discussed here for the first time. Without the need of pre-filtering and boundary extension, the proposed method has the most superior non-boundary distortion. The numerical experimental results show that this wavelet series yields higher approximation precision with less calculation. This new series has more advantages relative to Fourier analysis in dealing with boundary problem, and the wavelet analysis theory is further enriched.
Keywords :
Fourier analysis; mathematical operators; signal processing; wavelet transforms; Fourier analysis; H1[0,1] space; boundary problem; finite interval; integral operator; nonboundary distortion; signal processing; wavelet analysis theory; wavelet series construction method; Approximation methods; Fourier series; Pattern recognition; Signal processing; Statistical analysis; Wavelet analysis; Wavelet transforms; Finite interval; Fourier analysis; Wavelet series;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Wavelet Analysis and Pattern Recognition (ICWAPR), 2012 International Conference on
Conference_Location :
Xian
ISSN :
2158-5695
Print_ISBN :
978-1-4673-1534-0
Type :
conf
DOI :
10.1109/ICWAPR.2012.6294792
Filename :
6294792
Link To Document :
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