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

被引:7
|
作者
Diao, Chenzhe [1 ]
Han, Bin [1 ]
Lu, Ran [2 ]
机构
[1] Univ Alberta, Dept Math & Stat Sci, Edmonton, AB T6G 2G1, Canada
[2] Hohai Univ, Coll Sci, Nanjing 211100, Peoples R China
基金
中国国家自然科学基金; 加拿大自然科学与工程研究理事会;
关键词
Generalized matrix spectral; factorization; Quasi -tight framelets; Framelets with symmetry; Vanishing moments; Sum rules; Quasi-tight framelet filter banks; Sum of Hermitian squares; COMPACTLY SUPPORTED TIGHT; WAVELET FRAMES; FILTER BANKS; GENERATORS;
D O I
10.1016/j.acha.2023.02.002
中图分类号
O29 [应用数学];
学科分类号
070104 ;
摘要
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 x2 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. & COPY; 2023 Elsevier Inc. All rights reserved.
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页码:67 / 111
页数:45
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