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作者:

Li, Yun-Zhang (Li, Yun-Zhang.) (学者:李云章) | Jia, Hui-Fang (Jia, Hui-Fang.)

收录:

EI Scopus SCIE

摘要:

As homogeneous wavelet bi-frames derived from a pair of refinable functions, nonhomogeneous wavelet bi-frames admit fast wavelet transform, which is one of main concerns in wavelet analysis. Simultaneously, for a nonhomogeneous wavelet bi-frame in a pair of dual spaces (H-s (R-d), H-s (R-d)) with s not equal 0, smoothness and vanishing moment requirements are separated from each other, that is, one system is for smoothness and the other for vanishing moments. This gives us more flexibility to construct nonhomogeneous wavelet bi-frames than in L-2(R-d). However, the requirement of the Bessel property of affine systems is always needed. For refinable-function based wavelet bi-frames, such a requirement is imposed on refinable functions in dierent ways. This is not what we expect. So a natural question involves what we are expecting from a pair of general refinable functions. For this purpose, we introduce the notion of the reducing subspace of a Sobolev space and the notion of the weak nonhomogeneous wavelet bi-frame in a general pair of dual reducing subspaces of (H-s (R-d), H-s (R-d)). We characterize reducing subspaces of a Sobolev space. Then, under the setting of reducing subspaces, we study the properties of weak nonhomogeneous wavelet bi frames, obtain a construction of weak nonhomogeneous wavelet bi-frames from a pair of refinable functions, and derive a fast wavelet algorithm associated with such weak nonhomogeneous wavelet bi-frames.

关键词:

(Non) homogeneous wavelet system weak (non)homogeneous wavelet bi-frame Sobolev space reducing subspace

作者机构:

  • [ 1 ] [Li, Yun-Zhang]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China
  • [ 2 ] [Jia, Hui-Fang]Shanxi Univ, Sch Math Sci, Taiyuan, Peoples R China

通讯作者信息:

  • 李云章

    [Li, Yun-Zhang]Beijing Univ Technol, Coll Appl Sci, Beijing 100124, Peoples R China

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来源 :

NUMERICAL FUNCTIONAL ANALYSIS AND OPTIMIZATION

ISSN: 0163-0563

年份: 2017

期: 2

卷: 38

页码: 181-204

1 . 2 0 0

JCR@2022

ESI学科: MATHEMATICS;

ESI高被引阀值:66

中科院分区:4

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WoS核心集被引频次: 12

SCOPUS被引频次: 14

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