Research output: Contribution to journal › Article › peer-review
Multivariate Symmetric Interpolating Dual Multiwavelet Frames. / Krivoshein, Aleksandr .
In: Symmetry, Vol. 14, No. 7, 1425, 11.07.2022.Research output: Contribution to journal › Article › peer-review
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TY - JOUR
T1 - Multivariate Symmetric Interpolating Dual Multiwavelet Frames
AU - Krivoshein, Aleksandr
N1 - Publisher Copyright: © 2022 by the author.
PY - 2022/7/11
Y1 - 2022/7/11
N2 - The construction of symmetric multiwavelets in the multivariate case with useful in applications properties is a challenging task, mainly due to the complexity of the matrix extension problem. Nevertheless, for the interpolating case, a general technique can be developed. For an appropriate pair of symmetry group H and matrix dilation M and for a given H-symmetric interpolating refinable matrix mask, a method for the construction of H-symmetric dual refinable matrix masks with a preassigned order of sum rule is suggested. Wavelet matrix masks are constructed using a certain explicit matrix extension algorithm, and their symmetry properties are studied via its polyphase components. The resulting multiwavelet systems form dual multiwavelet frames, where wavelet functions have symmetry properties, preassigned order of vanishing moments and preassigned order of the balancing property. Several examples are presented.
AB - The construction of symmetric multiwavelets in the multivariate case with useful in applications properties is a challenging task, mainly due to the complexity of the matrix extension problem. Nevertheless, for the interpolating case, a general technique can be developed. For an appropriate pair of symmetry group H and matrix dilation M and for a given H-symmetric interpolating refinable matrix mask, a method for the construction of H-symmetric dual refinable matrix masks with a preassigned order of sum rule is suggested. Wavelet matrix masks are constructed using a certain explicit matrix extension algorithm, and their symmetry properties are studied via its polyphase components. The resulting multiwavelet systems form dual multiwavelet frames, where wavelet functions have symmetry properties, preassigned order of vanishing moments and preassigned order of the balancing property. Several examples are presented.
KW - symmetry group
KW - multivariate multiwavelet frames
KW - matrix mask
KW - interpolating refinable function vector
KW - symmetry group
KW - multivariate multiwavelet frames
KW - matrix mask
KW - interpolating refinable function vector
UR - http://www.scopus.com/inward/record.url?scp=85137352143&partnerID=8YFLogxK
UR - https://www.mendeley.com/catalogue/e43005a6-a921-3cae-b3c8-40b43f4ab111/
U2 - https://doi.org/10.3390/sym14071425
DO - https://doi.org/10.3390/sym14071425
M3 - Article
VL - 14
JO - Symmetry
JF - Symmetry
SN - 2073-8994
IS - 7
M1 - 1425
ER -
ID: 98563138