DocumentCode
1062620
Title
The discrete wavelet transform for a symmetric-anti symmetric multiwavelet family on the interval
Author
Wang, Haixiang ; Johnson, Bruce R.
Author_Institution
Dept. of Chem., Rice Univ., USA
Volume
52
Issue
9
fYear
2004
Firstpage
2528
Lastpage
2539
Abstract
The Chui-Lian multiwavelet family of approximation order three is extended to serve as a basis for an orthogonal discrete multiwavelet transform on the interval. This requires, in addition to the original symmetric and antisymmetric pairs of scaling functions and wavelets, four new functions of each type at each edge of the interval, i.e., one more than required just to preserve the approximation order. The criteria are given that such edge functions must satisfy in order to allow multiresolution analysis of data sequences without special constraints on endpoint behavior or use of periodic boundary conditions, and a specific choice is examined in applications to both noiseless and noisy data. These are accomplished through the development of interval-basis extensions for both an earlier multiwavelet projection-based prefilter/postfilter combination and a multiwavelet vector thresholding algorithm.
Keywords
discrete wavelet transforms; eigenvalues and eigenfunctions; filtering theory; signal resolution; Chui-Lian multiwavelet family; discrete wavelet transform; multiresolution analysis; multiwavelet vector thresholding algorithm; noiseless data; noisy data; orthogonal discrete multiwavelet transform; periodic boundary conditions; scaling function; symmetric-antisymmetric multiwavelet family; Boundary conditions; Chemistry; Discrete transforms; Discrete wavelet transforms; Eigenvalues and eigenfunctions; Finite impulse response filter; Focusing; Function approximation; Multiresolution analysis; Signal resolution; Approximation order; dilation eigenvalues; interval multiwavelet; multiwavelet;
fLanguage
English
Journal_Title
Signal Processing, IEEE Transactions on
Publisher
ieee
ISSN
1053-587X
Type
jour
DOI
10.1109/TSP.2004.831908
Filename
1323260
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