DocumentCode :
1251767
Title :
On asymptotic convergence of the dual filters associated with two families of biorthogonal wavelets
Author :
Wei, Dong ; Bovik, Alan C.
Author_Institution :
Dept. of Electr. & Comput. Eng., Texas Univ., Austin, TX, USA
Volume :
45
Issue :
12
fYear :
1997
fDate :
12/1/1997 12:00:00 AM
Firstpage :
2928
Lastpage :
2940
Abstract :
The asymptotic behavior of the dual filters associated with biorthogonal spline wavelet (BSW) systems and general biorthogonal Coifman wavelet (GBCW) systems are studied. As the order of the wavelet systems approaches infinity, the magnitude responses of the dual filters in the BSW systems either diverge or converge to some nonideal frequency responses. However, the synthesis filters in the GBCW systems converge to an ideal halfband lowpass filter without exhibiting any Gibbs-like phenomenon, and a subclass of the analysis filters also converge to an ideal halfband lowpass filter but with a one-sided Gibbs-like behavior. The two approximations of the ideal lowpass filter by the filter associated with a Daubechies orthonormal wavelet and by the synthesis filter in a GBCW system of the same order are compared. Such a study of the asymptotic behaviors of wavelet systems provides insightful characterization of these systems and systematic assessment and global comparison of different wavelet systems
Keywords :
FIR filters; band-pass filters; convergence of numerical methods; frequency response; low-pass filters; splines (mathematics); wavelet transforms; BSW systems; Daubechies orthonormal wavelet; GBCW system; Gibbs-like behavior; analysis filters; asymptotic behavior; asymptotic convergence; biorthogonal spline wavelet systems; dual filters; general biorthogonal Coifman wavelet systems; ideal halfband lowpass filter; magnitude responses; nonideal frequency responses; synthesis filters; Convergence; Filters; Frequency response; Gaussian processes; H infinity control; Lagrangian functions; Machine vision; Spline; Transfer functions; Wavelet analysis;
fLanguage :
English
Journal_Title :
Signal Processing, IEEE Transactions on
Publisher :
ieee
ISSN :
1053-587X
Type :
jour
DOI :
10.1109/78.650252
Filename :
650252
Link To Document :
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