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Generalized matrix spectral factorization with symmetry and applications to symmetric quasi-tight framelets.

Authors :
Diao, Chenzhe
Han, Bin
Lu, Ran
Source :
Applied & Computational Harmonic Analysis. Jul2023, Vol. 65, p67-111. 45p.
Publication Year :
2023

Abstract

Factorization of matrices of Laurent polynomials plays an important role in mathematics and engineering such as wavelet frame construction and filter bank design. Wavelet frames (a.k.a. framelets) are useful in applications such as signal and image processing. Motivated by the recent development of quasi-tight framelets, we study and characterize generalized spectral factorizations with symmetry for 2 × 2 matrices of Laurent polynomials. Applying our result on generalized matrix spectral factorization, we establish a necessary and sufficient condition for the existence of symmetric quasi-tight framelets with two generators. The proofs of all our main results are constructive and therefore, one can use them as construction algorithms. We provide several examples to illustrate our theoretical results on generalized matrix spectral factorization and quasi-tight framelets with symmetry. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
10635203
Volume :
65
Database :
Academic Search Index
Journal :
Applied & Computational Harmonic Analysis
Publication Type :
Academic Journal
Accession number :
163293296
Full Text :
https://doi.org/10.1016/j.acha.2023.02.002