Orthogonal symmetric prefilter banks for discrete multiwavelet transforms

Traditional design of critically sampled prefilters for discrete multiwavelet transform ignores the preservation of the linear phase property, which is important for many applications, such as image coding and digital communications. Balanced multiwavelets solve this problem but make the filters lon...

Full description

Saved in:
Bibliographic Details
Published in:IEEE signal processing letters 2006-03, Vol.13 (3), p.145-148
Main Authors: Tai-Chiu Hsung, Lun, D.P.-K., Ho, K.C.
Format: Article
Language:English
Subjects:
Algorithm design and analysis
Approximation
Approximation order
Banks
Councils
Design engineering
Digital communication
Discrete transforms
Electronic mail
Filter bank
Filters
Image coding
Linear phase
linear-phase paraunitary filterbank
Mathematical analysis
multiwavelets
Noise reduction
orthogonality
prefilter
Prefilters
Signal processing
System testing
Transforms
wavelets
Citations: Items that this one cites
Items that cite this one
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:Traditional design of critically sampled prefilters for discrete multiwavelet transform ignores the preservation of the linear phase property, which is important for many applications, such as image coding and digital communications. Balanced multiwavelets solve this problem but make the filters longer. By using linear phase filter banks, we propose a simple algorithm for the design of orthogonal symmetric prefilter banks that can be used with the discrete multiwavelet transform. The prefilter bank resulted is orthogonal and critically sampled and can preserve the approximation power of the multiwavelet as well as the linear phase property. Experimental results show that the systems using the proposed symmetric prefilter banks give better performance as compared with using nonlinear phase prefilters.
ISSN:1070-9908
1558-2361
DOI:10.1109/LSP.2005.862609