Design of Interpolating Biorthogonal Multiwavelet Systems with Compact Support

Jian Kang Zhang, Timothy N. Davidson, Zhi Quan Luo, K. Max Wong

Research output: Contribution to journalArticlepeer-review

27 Scopus citations

Abstract

In this paper we characterize all totally interpolating biorthogonal finite impulse response (FIR) multifilter banks of multiplicity two, and provide a design framework for corresponding compactly supported multiwavelet systems with high approximation order. In these systems, each component of the analysis and synthesis portions possesses the interpolating property. The design framework is based on scalar filter banks, and examples with approximation order two and three are provided. We show that our multiwavelet systems preserve almost all of the desirable properties of the generalized interpolating scalar wavelet systems, including the dyadic-rational nature of the filter coefficients, equality of the flatness degree of the low-pass filters and the approximation order of the corresponding functions, and equality between the uniform samples of a signal and its projection coefficients for a given scale. This last property allows us to avoid the cumbersome prefiltering associated with standard multiwavelet systems. We also show that there are no symmetric totally interpolating biorthogonal multifilter banks of multiplicity two. Finally, we point out that our design framework incorporates a simple relationship between the multiscaling functions and multiwavelets that substantially simplifies the implementation of the system.

Original languageEnglish (US)
Pages (from-to)420-438
Number of pages19
JournalApplied and Computational Harmonic Analysis
Volume11
Issue number3
DOIs
StatePublished - Nov 2001

Bibliographical note

Funding Information:
The first author thanks Professor Bao Zheng for his careful guidance at Xidian University, Xi’an, China. This work is an extension of his Ph.D. dissertation. He also thanks the support of the National Natural Science Foundation of China (Grant 69772029), and the National Sciences and Engineering Research Council of Canada (Grant 4464-00).

Keywords

  • Multiwavelets; interpolation

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