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
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;
Journal_Title :
Signal Processing Letters, IEEE
DOI :
10.1109/LSP.2003.819871