DocumentCode
1024917
Title
Daubechies Wavelets as Approximate Hilbert-Pairs?
Author
Tay, David B H
Author_Institution
LaTrobe Univ., LaTrobe
Volume
15
fYear
2008
fDate
6/30/1905 12:00:00 AM
Firstpage
57
Lastpage
60
Abstract
A Hilbert-pair is a pair of wavelets that are Hilbert transforms of each other. A perfect reconstruction multirate filter bank defines a wavelet if the infinite product formula converges. If one chooses two filter banks arbitrarily, in general, the Hilbert transform relationship is not well approximated. This letter reports on an interesting discovery about the celebrated family of orthonormal Daubechies filters with maximum vanishing moments. It is found that if two filters whose lengths differ by four are chosen from this family, a Hilbert-pair of reasonable approximation quality is obtained. An explanation for this discovery is provided, and lessons that can be learned are discussed.
Keywords
Hilbert transforms; approximation theory; channel bank filters; signal reconstruction; wavelet transforms; Daubechies wavelets; Hilbert transforms; approximate Hilbert-pairs; approximation quality; maximum vanishing moments; orthonormal Daubechies filters; perfect reconstruction multirate filter bank; Delay; Discrete wavelet transforms; Filter bank; Finite impulse response filter; Fourier transforms; Frequency measurement; IIR filters; Low pass filters; Multidimensional signal processing; Wavelet analysis; Complex wavelet; Hilbert pair; dual-tree; orthonormal filter banks;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2007.910318
Filename
4418413
Link To Document