DocumentCode
867431
Title
Analysis-ready multiwavelets (armlets) for processing scalar-valued signals
Author
Lian, Jian-Ao ; Chui, Charles K.
Author_Institution
Dept. of Math., Prairie View A&M Univ., TX, USA
Volume
11
Issue
2
fYear
2004
Firstpage
205
Lastpage
208
Abstract
The notion of armlets is introduced in this letter as a precise formulation of orthonormal multiwavelets that guarantee wavelet decomposition with highpass output not being effected by polynomial perturbation of the input. A mathematical scheme for constructing armlets is given, and it is shown that the notions of armlets and balanced multiwavelets are different. In particular, while balanced wavelets are armlets, the converse is false in general. One advantage of armlets is that the weaker assumption provides flexibility to facilitate wavelet and filter construction.
Keywords
high-pass filters; low-pass filters; matrix algebra; polynomials; signal processing; wavelet transforms; analysis-ready multiwavelets; armlet constructing mathematical scheme; balanced multiwavelet; filter construction; high pass filter annihilation; highpass wavelet decomposition output; matrix Riesz Lemma; orthonormal multiwavelet formulation; polynomial preservation; scalar-valued signal processing; wavelet construction; Computer science; Digital filters; Mathematics; Matrix decomposition; Polynomials; Signal analysis; Signal processing; Statistics; Wavelet analysis;
fLanguage
English
Journal_Title
Signal Processing Letters, IEEE
Publisher
ieee
ISSN
1070-9908
Type
jour
DOI
10.1109/LSP.2003.819871
Filename
1261980
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